cel: automatycznie IMPORT OK co się da; IMPORT - 5000 zapisów z ukd i deskryptorami najbardziej literackimi; reszta nie wchodzi
#biblioteki
options(java.parameters = "-Xmx32000m")
options(scipen = 999)
pacman::p_load(utf8,googlesheets4,zoo,stringr,splitstackshape,plyr,dplyr,sqldf,stringdist,fuzzyjoin,data.table,svMisc,tidyverse,RJDBC,arrangements,tokenizers)
#połączenie z bazą PBL
jdbcDriver =JDBC("oracle.jdbc.OracleDriver",classPath="C:/Users/Cezary/Downloads/ojdbc6.jar")
PBL <- dbConnect(jdbcDriver, "jdbc:oracle:thin:@//pbl.ibl.poznan.pl:1521/xe", "IBL_SELECT", "CR333444")
#wgranie zbiorów książek
bn_ks <- read.csv2("C:/Users/Cezary/Downloads/bn_ks_2009.csv", encoding = "UTF-8", header = TRUE, stringsAsFactors = FALSE) %>%
filter(!grepl("\\\\$aArtykuły|\\\\$Druki ulotne",X380)) %>%
filter(!grepl("\\$aNadbitki i odbitki",X655)) %>%
filter(grepl("Książki",X380,ignore.case = FALSE)|X380=="") %>%
filter(grepl("\\$aWA|\\$aW ",X040)) %>%
filter(X655!="\\7$aKomiks$2DBN") %>%
mutate(licznik = 1:lengths(.))wyra戼㹦enie liczbowe posiada 145 element昼㸳w: u戼㹦yto tylko pierwszego### przenieść kolejnych autorów z 700 do pola 100
marc_field_700 <- bn_ks %>%
select(id,X700)%>%
filter(X700!="") %>%
mutate(X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
cSplit(.,"X700",sep = "~",direction = "long") %>%
filter(X700!="") %>%
mutate(X700=str_remove_all(X700,"^\\|")) %>%
mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(bn_ks$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
colnames(empty_table) <-subfield_list
marc_field_700<-cbind(marc_field_700,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
}Progress: 1 on 12 Progress: 2 on 12 Progress: 3 on 12 Progress: 4 on 12 Progress: 5 on 12 Progress: 6 on 12 Progress: 7 on 12 Progress: 8 on 12 Progress: 9 on 12 Progress: 10 on 12 Progress: 11 on 12 Progress: 12 on 12 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
}Progress: 1 on 12 Progress: 2 on 12 Progress: 3 on 12 Progress: 4 on 12 Progress: 5 on 12 Progress: 6 on 12 Progress: 7 on 12 Progress: 8 on 12 Progress: 9 on 12 Progress: 10 on 12 Progress: 11 on 12 Progress: 12 on 12 marc_field_700 <- marc_field_700 %>%
filter(is.na(`$e`)&is.na(`$t`)) %>%
select(id, X700) %>%
mutate(drugi_autor = str_remove_all(X700,"\\|")) %>%
select(id,drugi_autor)
drugi_autor <- bn_ks %>%
full_join(.,marc_field_700,by = "id") %>%
select(id,X100,X700,drugi_autor) %>%
group_by(id) %>%
mutate(X100 = ifelse(!is.na(drugi_autor),str_remove(paste(X100,paste(drugi_autor,collapse = "|"),sep = "|"),"^\\|"),as.character(X100)),
drugi_autor = list(drugi_autor)) %>%
ungroup() %>%
unique()
x <- 1:length(drugi_autor$id)
for (i in x) {
progress(match(i,x), max.value = length(x))
y <- 1:lengths(drugi_autor$drugi_autor[i])
for (j in y) {
drugi_autor$X700[i] <- ifelse(is.na(drugi_autor$drugi_autor[i]),as.character(drugi_autor$X700[i]),
ifelse(grepl(str_replace_all(str_replace_all(str_replace_all(str_replace_all(drugi_autor$drugi_autor[i][[1]][j],"\\\\","\\\\\\\\"),"\\$","\\\\$"),"\\(","\\\\("),"\\)","\\\\)"),drugi_autor$X700[i]),str_remove(drugi_autor$X700[i],str_replace_all(str_replace_all(str_replace_all(str_replace_all(drugi_autor$drugi_autor[i][[1]][j],"\\\\","\\\\\\\\"),"\\$","\\\\$"),"\\(","\\\\("),"\\)","\\\\)")),as.character(drugi_autor$X700[i])))
}
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mutate(X700 = str_replace_all(X700,"(\\|)+","|"),
X700 = str_remove(X700,"\\||$"),
X700 = ifelse(X700=="|","",as.character(X700))) %>%
select(id,X100,X700)
bn_ks <- bn_ks %>%
mutate(X100 = drugi_autor$X100,
X700 = drugi_autor$X700)
##koniec przenosin#wydobycie listy gatunków
gatunki_litX655 <- data.frame(X655 = UKD_lit$X655) %>%
unique() %>%
filter(!is.na(X655)) %>%
mutate(X655 = str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655 = str_replace_all(X655,"(.*?)(\\$a.*)(\\$2.*)","\\2")) %>%
unique() %>%
mutate(pole = "X655") %>%
dplyr::rename(gatunki = X655)
gatunki_litX650 <- data.frame(X650 = UKD_lit$X650) %>%
unique() %>%
filter(!is.na(X650)) %>%
mutate(X650 = str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650 = str_replace_all(X650,"(.*?)(\\$a.*)(\\$2.*)","\\2")) %>%
unique() %>%
mutate(pole = "X650") %>%
dplyr::rename(gatunki = X650)
gatunki_lit <- rbind(gatunki_litX655,gatunki_litX650) %>%
mutate(gatunki = str_remove_all(gatunki, ".*?\\$a")) %>%
arrange(pole,gatunki) %>%
unique()
#write.csv2(gatunki_lit, "C:/Users/User/Desktop/gatunki_literackie.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
#Basia definiuje, które gatunki są literackie i kt?rych gatunków należy szukać
gatunki_tfrtvX655 <- data.frame(X655 = UKD_tfrtv$X655) %>%
unique() %>%
filter(!is.na(X655)) %>%
mutate(X655 = str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655 = str_replace_all(X655,"(.*?)(\\$a.*)(\\$2.*)","\\2")) %>%
unique() %>%
mutate(pole = "X655") %>%
rename(gatunki = X655) %>%
select(gatunki,pole)
gatunki_tfrtvX650 <- data.frame(X650 = UKD_tfrtv$X650) %>%
unique() %>%
filter(!is.na(X650)) %>%
mutate(X650 = str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650 = str_replace_all(X650,"(.*?)(\\$a.*)(\\$2.*)","\\2")) %>%
unique() %>%
mutate(pole = "X650") %>%
rename(gatunki = X650) %>%
select(gatunki,pole)
gatunki_tfrtv <- rbind(gatunki_tfrtvX655,gatunki_tfrtvX650) %>%
mutate(gatunki = str_remove_all(gatunki, ".*?\\$a")) %>%
arrange(pole,gatunki) %>%
unique()
#write.csv2(gatunki_tfrtv, "C:/Users/User/Desktop/gatunki_tfrtv.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
#Basia definiuje, które gatunki są literackie i kt?rych gatunków należy szukać
#wczytanie listy utożsamionych twórców z autorami BN
pbl_viaf <- sheets_read(ss = "1cEz73dGN2r2-TTc702yne9tKfH9PQ6UyAJ2zBSV6Jb0") %>%
filter(czy_ten_sam!="nie") %>%
select(pbl_id, BN_id, BN_name) %>%
mutate(BN_name = str_replace_all(BN_name,"\\|\\(", " ("),
BN_name = str_replace_all(BN_name, "\\;\\|", "; ")) %>%
cSplit(.,"BN_name",sep = "|",direction = "long") %>%
filter(BN_name!="")
pbl_viaf2 <- sheets_read(ss = "1_Bhwzo0xu4yTn8tF0ZNAZq9iIAqIxfcrjeLVCm_mggM") %>%
filter(czy_ten_sam!="nie") %>%
select(pbl_id, BN_id, BN_name) %>%
mutate(BN_name = str_replace_all(BN_name,"\\|\\(", " ("),
BN_name = str_replace_all(BN_name, "\\;\\|", "; ")) %>%
cSplit(.,"BN_name",sep = "|",direction = "long") %>%
filter(BN_name!="")
pbl_viaf <- rbind(pbl_viaf,pbl_viaf2) %>%
arrange(pbl_id) %>%
unique()
remove(pbl_viaf2)
#zostawić do testowania, czy jedno hasło bn nie zasila kilku haseł twórców pbl
#pbl_viaf <- sheets_read(ss = "1cEz73dGN2r2-TTc702yne9tKfH9PQ6UyAJ2zBSV6Jb0") %>%
# filter(czy_ten_sam!="nie") %>%
# select(pbl_id, BN_id, BN_name)
#pbl_viaf2 <- sheets_read(ss = "1_Bhwzo0xu4yTn8tF0ZNAZq9iIAqIxfcrjeLVCm_mggM") %>%
# filter(czy_ten_sam!="nie") %>%
# select(pbl_id, BN_id, BN_name)
#pbl_viaf <- rbind(pbl_viaf,pbl_viaf2) %>%
# arrange(pbl_id) %>%
# unique()
#
#count <- as.data.frame(table(pbl_viaf$BN_id))
#pbl_viaf <- merge(pbl_viaf,count,by.x = "BN_id",by.y = "Var1",all.x = TRUE)
#pbl_viaf <- pbl_viaf %>%
# unique()
#count2 <- as.data.frame(table(pbl_viaf$pbl_id))
#utożsamianie po nazewnictwie z informacją o dziale
tworca_i_dzial <- dbGetQuery(PBL,
"select tw.tw_tworca_id \"pbl_id\", dz.dz_dzial_id||'|'||dz.dz_nazwa \"osoba_pbl_dzial_id_name\"
from pbl_tworcy tw
full join pbl_dzialy dz on dz.dz_dzial_id=tw.tw_dz_dzial_id")
#listy nazwisk BN ze zbioru
#100
marc_field_100 <- bn_ks %>%
select(id,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(bn_ks$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
marc_field_100 <- marc_field_100 %>%
select(id,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(id,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
osoba_bn_100_pbl <- marc_field_100 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
select(1:3) %>%
left_join(.,tworca_i_dzial,by = "pbl_id") %>%
select(id,osoba_pbl_dzial_id_name) %>%
group_by(id) %>%
mutate(osoba_bn_autor = paste(unique(osoba_pbl_dzial_id_name),collapse = "~")) %>%
select(-osoba_pbl_dzial_id_name) %>%
ungroup() %>%
unique()
#600
marc_field_600 <- bn_ks %>%
select(id,X600)%>%
filter(X600!="") %>%
mutate(X600=str_replace_all(X600,"(^|\\|)","~\\1")) %>%
cSplit(.,"X600",sep = "~",direction = "long") %>%
filter(X600!="") %>%
mutate(X600=str_remove_all(X600,"^\\|")) %>%
mutate(indicator = str_replace_all(X600,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(bn_ks$X600,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_600)[1]))
colnames(empty_table) <-subfield_list
marc_field_600<-cbind(marc_field_600,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_600$X600 <- str_replace(marc_field_600$X600,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_600[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_600$X600),str_replace_all(gsub(string,"\\3",marc_field_600$X600),"\\${2}.", "~"),NA)
}
marc_field_600 <- marc_field_600 %>%
select(id,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(id,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
osoba_bn_600_pbl <- marc_field_600 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
select(1:3) %>%
left_join(.,tworca_i_dzial,by = "pbl_id") %>%
select(id,osoba_pbl_dzial_id_name) %>%
group_by(id) %>%
mutate(osoba_bn_temat = paste(unique(osoba_pbl_dzial_id_name),collapse = "~")) %>%
select(-osoba_pbl_dzial_id_name) %>%
ungroup() %>%
unique()
##700
#marc_field_700 <- bn_ks %>%
# select(id,X700)%>%
# filter(X700!="") %>%
# mutate(X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
# cSplit(.,"X700",sep = "~",direction = "long") %>%
# filter(X700!="") %>%
# mutate(X700=str_remove_all(X700,"^\\|")) %>%
# mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1"))
#subfield_list<- str_extract_all(bn_ks$X700,"\\$.")
#subfield_list<- unique(unlist(subfield_list))
#empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
#colnames(empty_table) <-subfield_list
#marc_field_700<-cbind(marc_field_700,empty_table)
#subfield_list_char <- paste("(",subfield_list,")",sep = "")
#subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
#x <- 1:length(subfield_list)
#
#for (i in x) {
# progress(match(i,x), max.value = length(x))
# marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
#}
#for (i in x) {
# progress(match(i,x), max.value = length(x))
# subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
# string_a <- "(^)(.*?\\|"
# string_b <- subfield_list_char2[i]
# string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
# string <- paste(string_a,string_b,string_c,sep = "")
# marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
#}
#marc_field_700 <- marc_field_700 %>%
# select(id,`$a`,`$d`,`$c`) %>%
# mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
# select(id,name) %>%
# mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
# name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
###sprawdzić czy nie ma zdublowanego mapowania BN->PBL (czy np. jedna osoba z BN nie zasila kilku twórców PBL)
bn_ks <- bn_ks %>%
full_join(.,osoba_bn_100_pbl,by = "id") %>%
full_join(.,osoba_bn_600_pbl,by = "id")#wskazanie interesujących PBL dziedzin wiedzy po UKD i określenie typu UKD
bn_ks <- bn_ks %>%
mutate(dziedzina_PBL = ifelse(str_detect(X080,"(?<=\\$a|:|\\[|\\+|\\()(82)"),"ukd_lit",
ifelse(str_detect(X080,"(?<=\\$a|:|\\[|\\+)(791)")|str_detect(X080,"(?<=\\$a|:)(792)")|str_detect(X080,"\\$a7\\.09"),"ukd_tfrtv",
ifelse(str_detect(X080,"(?<=\\$a01)(\\(|\\/|2|4|5|9)")|str_detect(X080,"(?<=\\$a|\\[])(050)"),"ukd_biblio",
ifelse(str_detect(X080,"\\$a002")|str_detect(X080,"(?<=\\$a|:)(305)")|str_detect(X080,"(?<=\\$a39|:39)(\\(438\\)|8\\.2)")|str_detect(X080,"(?<=\\$a|:)(929[^\\.]051)"),"ukd_pogranicze","bez_ukd_PBL")))))
#wskazanie interesujących PBL rekordów bez UKD, które są w kluczu PBL
bez_ukd_ale_PBL <- bn_ks %>%
select(id, X080, X650, X655, osoba_bn_autor, osoba_bn_temat, dziedzina_PBL) %>%
filter(dziedzina_PBL == "bez_ukd_PBL"&X080==""&is.na(osoba_bn_autor)&is.na(osoba_bn_temat)) %>%
mutate(bez_ukd_ale_PBL = grepl("literat|literac|pisar|bajk|dramat|epigramat|esej|felieton|film|komedi|nowel|opowiadani|pamiętnik|poemiks|poezj|powieść|proza|reportaż|satyr|wspomnieni|Scenariusze zajęć|Podręczniki dla gimnazjów|teatr|Nagrod|aforyzm|baśń|baśnie|polonijn|dialogi|fantastyka naukowa|legend|pieśń|poemat|przypowieś|honoris causa|filologi|kino polskie|pieśni",X650, ignore.case = TRUE)|grepl("literat|literac|pisar|bajk|dramat|epigramat|esej|felieton|film|komedi|nowel|opowiadani|pamiętnik|poemiks|poezj|powieść|proza|reportaż|satyr|wspomnieni|Scenariusze zajęć|Podręczniki dla gimnazjów|teatr|Nagrod|aforyzm|baśń|baśnie|polonijn|dialogi|fantastyka naukowa|legend|pieśń|poemat|przypowieś|honoris causa|filologi|kino polskie|pieśni",X655,ignore.case = TRUE)) %>%
filter(bez_ukd_ale_PBL == TRUE) %>%
select(id) %>%
mutate(bez_ukd_ale_PBL = "tak")
bn_ks <- bn_ks %>%
full_join(.,bez_ukd_ale_PBL,by = "id")
#wspomnienia,pamiętniki,literatura podróżnicza,reportaż
wspomnienia <- bn_ks %>%
mutate(czy_wspomnienia_reportaz = ifelse(str_detect(X655,"Pamiętniki i wspomnienia")|str_detect(X655,"Literatura podróżnicza")|str_detect(X655,"Pamiętniki")|str_detect(X655,"Reportaż"),"tak",NA)) %>%
select(id,czy_wspomnienia_reportaz) %>%
unique()
bn_ks <- bn_ks %>%
full_join(.,wspomnienia,by = "id")
#słowa literackie w polu 245
rekordy_slowa <- sqldf("select *
from bn_ks a
where LOWER(a.X245) like ('%'||'pisar'||'%')
or LOWER(a.X245) like ('%'||'literat'||'%')
or LOWER(a.X245) like ('%'||'literac'||'%')
or LOWER(a.X245) like ('%'||'teatr'||'%')
or LOWER(a.X245) like ('%'||'film'||'%')
or LOWER(a.X245) like ('%'||'dramat'||'%')") %>%
select(id) %>%
mutate(slowa_literackie = "tak") %>%
unique()
bn_ks <- bn_ks %>%
full_join(.,rekordy_slowa,by = "id")
bn_ok <- bn_ks %>%
filter(!((is.na(osoba_bn_autor)&is.na(osoba_bn_temat))&dziedzina_PBL=="bez_ukd_PBL"&is.na(bez_ukd_ale_PBL)&is.na(czy_wspomnienia_reportaz)&is.na(slowa_literackie)))
#usunięcie zagranicznych zapisów, które nie są polonikami
#na podstawie braku wystąpień frazy "pol" w polach MARC
nie_poloniki <- bn_ok %>%
filter(if (X501=="") !grepl("pl",substr(X008,16,18))) %>%
filter(!grepl("pol",substr(X008,36,38))) %>%
filter(!grepl("pol",X041)) %>%
filter(!grepl("pl",X044)) %>%
filter(!grepl("pol",X500,ignore.case = TRUE)) %>%
filter(!grepl("pol",X501,ignore.case = TRUE)) %>%
filter(!grepl("pol",X546,ignore.case = TRUE)) %>%
select(id) %>%
mutate(czy_polonik = "nie") %>%
unique()
#na postawie wystąpień twórców pbl w polach uwag
#czy warto? co zrobić z case insensitivenes? --> za dużo śmieci wpada, zrezygnowałem z tego
bn_ok <- bn_ok %>%
full_join(.,nie_poloniki,by = "id") %>%
select(id, X008, X009, X041, X044, X080, X100, X245, X246, X250, X260, X300, X380, X386, X490, X500, X501, X500, X546, X600, X650, X655, X700, X710, X800, X830, rok, osoba_bn_autor, osoba_bn_temat, dziedzina_PBL, bez_ukd_ale_PBL, czy_wspomnienia_reportaz, slowa_literackie, czy_polonik) %>%
unique()
#wskazanie niepoloników i usunięcie ze zbioru
nie_poloniki <- bn_ok %>%
filter(czy_polonik=="nie") %>%
filter(is.na(osoba_bn_autor)|is.na(osoba_bn_temat)|!(osoba_bn_autor %in% c("148|Hasła osobowe (literatura polska)","430|Hasła osobowe (Ludzie teatru i filmu)"))|!(osoba_bn_temat %in% c("148|Hasła osobowe (literatura polska)","430|Hasła osobowe (Ludzie teatru i filmu)")))
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from nie_poloniki b)") %>%
select(-czy_polonik)#pobranie starych list książek z importu
listy_2005 <- sheets_read(ss = "1HkWkX61sQWktSXf0v0uPV8j2DwuTocesyCJuKTdisIU", sheet = "lista_ksiazek")
listy_2006 <- sheets_read(ss = "1zeMx_Idsum8JmlM6G7Eufx9LxloHoAHv8V-My71VZf4", sheet = "lista_ksiazek")
listy_2007 <- sheets_read(ss = "19iL7YoD8ug-rLnpzS6FD46aS2J1BRf4qL5VxllywCGE", sheet = "lista_ksiazek")
listy_2008 <- sheets_read(ss = "1RshTeWdXBE7OzOEfoGpL9Ljb_GXDlGDePNjV1HKmuOo", sheet = "lista_ksiazek")
listy_2004 <- sheets_read(ss = "1RmDia97s4B8F74sS7Wbpnv_A9zMfr4xTvcD9leukAfM", sheet = "lista_książek") %>%
mutate(typ_ksiazki = NA, link = NA, link_1 = NA, status = NA, blad_w_imporcie_tytulu = NA) %>%
select(pracownik,ZA_ZAPIS_ID,typ_ksiazki, link, link_1, rok, status, blad_w_imporcie_tytulu, X100, X245, X650, X655, X246, X250, X260, X300, X380, X490, X500, X501, X546, X600, X700, X041, X080)
#ujednolicenie 2004 do wzoru późniejszych rocznikóW
do2004 <- RJDBC::dbGetQuery(PBL,
"select z.za_zapis_id, z.za_status_imp
from pbl_zapisy z
where z.za_uwagi like '%import%02%'")
listy_2004 <- merge(listy_2004,do2004,by = "ZA_ZAPIS_ID",all.x = TRUE) %>%
mutate(status = ZA_STATUS_IMP) %>%
select(-ZA_STATUS_IMP) %>%
select(pracownik,ZA_ZAPIS_ID,typ_ksiazki, link, link_1, rok, status, blad_w_imporcie_tytulu, X100, X245, X650, X655, X246, X250, X260, X300, X380, X490, X500, X501, X546, X600, X700, X041, X080)
#zapewnienie tych samych nazw kolumn
colnames(listy_2005) <- names(listy_2004)
colnames(listy_2006) <- names(listy_2004)
colnames(listy_2007) <- names(listy_2004)
colnames(listy_2008) <- names(listy_2004)
listy_2004 <- listy_2004 %>%
mutate(X655 = str_remove(str_replace_all(X655,"(\\$a)","|\\1"),"^\\|"),
X650 = str_remove(str_replace_all(X650,"(\\$a)","|\\1"),"^\\|"))
#wyznaczenie listy 650 i 655 do automatycznego INO na podstawie wcześniejszych importów - usunięte są tylko te deskryptory, które nie mają związku z literaturą podmiotową
zapisy <- RJDBC::dbGetQuery(PBL,
"select z.za_zapis_id, z.za_status_imp, z.za_uwagi
from pbl_zapisy z
where z.za_uwagi like '%import%'") %>%
mutate(pracownik_pbl = str_extract(ZA_UWAGI, "(?<=akceptuje:)([A-Z]*)")) %>%
select(ZA_ZAPIS_ID,pracownik_pbl,ZA_STATUS_IMP)
do_importu_NIE <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008) %>%
full_join(.,zapisy,by = "ZA_ZAPIS_ID") %>%
select(X650,X655,ZA_STATUS_IMP) %>%
mutate(X650 = str_remove_all(X650,"\\\\7"),
X655 = str_remove_all(X655,"\\\\7"),
joint = paste(X650,X655,sep = "~")) %>%
select(ZA_STATUS_IMP,joint) %>%
group_by(joint) %>%
mutate(grupa = paste(ZA_STATUS_IMP,collapse = ",")) %>%
ungroup() %>%
select(joint, grupa) %>%
unique() %>%
mutate(ile = str_count(grupa,",")+1) %>%
filter(grepl("INO",grupa)) %>%
filter(!grepl("IOK|IMP|IPN|IPC",grupa)) %>%
mutate(czy = str_detect(joint,"\\$y[\\d-]+ w\\.")) %>%
filter(czy==FALSE) %>%
select(joint) %>%
mutate(joint = str_remove_all(str_replace_all(joint,"(\\$a)","\\\\#7\\1"),"#")) %>%
mutate(do_wyrzucenia_na_podstawie_INO = "tak")
bn_ok <- bn_ok %>%
mutate(X650 = ifelse(X650=="",NA,as.character(X650)),
X655 = ifelse(X655=="",NA,as.character(X655)),
joint = paste(X650,X655,sep = "~")) %>%
left_join(.,do_importu_NIE,by = "joint") %>%
mutate(X650 = ifelse(is.na(X650),"",as.character(X650)),
X655 = ifelse(is.na(X655),"",as.character(X655)))
do_importu_NIE <- bn_ok %>%
filter(is.na(osoba_bn_autor)&is.na(osoba_bn_temat)&is.na(slowa_literackie)&do_wyrzucenia_na_podstawie_INO=="tak") %>%
filter(!grepl("literat|literac|pamiętnik|pisar",X655,ignore.case = TRUE))
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from do_importu_NIE b)") %>%
select(-joint,-do_wyrzucenia_na_podstawie_INO)
#usunięcie na podstawie tabel KP
out <- sheets_read(ss = "1lO_ZtwyBDePGqXkgWyk_WmGeQBaAQBvEUjNnctrw-vg") %>%
filter(wchodzi_do_pbl == "nie")
KP_out <- bn_ok %>%
filter(grepl("Wydawnictwa popularne",X655)) %>%
unique() %>%
full_join(.,out,by = "X650") %>%
filter(wchodzi_do_pbl=="nie") %>%
filter(!is.na(X655)) %>%
select(id)
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from KP_out b)")
#czy próbować wyrzucać po UKD, które dostawało tylko INO?
do_importu_NIE2 <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008) %>%
full_join(.,zapisy,by = "ZA_ZAPIS_ID") %>%
select(X080,ZA_STATUS_IMP) %>%
mutate(X080 = str_remove_all(X080,"\\\\")) %>%
select(ZA_STATUS_IMP,X080) %>%
group_by(X080) %>%
mutate(grupa = paste(ZA_STATUS_IMP,collapse = ",")) %>%
ungroup() %>%
select(X080, grupa) %>%
unique() %>%
mutate(ile = str_count(grupa,",")+1) %>%
filter(grepl("INO",grupa)) %>%
filter(!grepl("IOK|IMP|IPN|IPC",grupa)) %>%
#tu się musi KP wypowiedzieć, czy jak było 2xNIE to wystarczy, żeby wywalać
# filter(ile > 1) %>%
select(X080) %>%
mutate(X080 = paste("\\",str_remove_all(str_replace_all(X080,"(\\$a)","\\\\#\\1"),"#"),sep = "")) %>%
mutate(do_wyrzucenia_na_podstawie_INO = "tak")
#na podstawie UKD też wyrzucić - decyzja KP
bn_ok <- bn_ok %>%
full_join(.,do_importu_NIE2,by = "X080") %>%
filter(!is.na(id))
do_importu_NIE2 <- bn_ok %>%
filter(is.na(osoba_bn_autor)&is.na(osoba_bn_temat)&is.na(slowa_literackie)&do_wyrzucenia_na_podstawie_INO=="tak")
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from do_importu_NIE2 b)") %>%
select(-do_wyrzucenia_na_podstawie_INO)
#reszta rekordów, które nie będą zaimportowane
reszta <- sqldf("select *
from bn_ks a
where a.id not in
(select b.id
from bn_ok b)")bn_ok <- bn_ok %>%
mutate(czy_ma_ukd = ifelse(X080=="","nie","tak"),
position_dash = ifelse(grepl("(\\\\\\\\\\$a|:)(821\\.)",X080),str_locate(X080,"\\-")[,1], NA),
position_dash = ifelse(is.na(position_dash),"",as.integer(position_dash)),
position_091 = str_locate(X080,"\\(091\\)")[,1],
position_091 = ifelse(is.na(position_091),"",as.integer(position_091)),
rodzaj_ksiazki = ifelse(grepl("Antologi",X655),"antologia",
ifelse(position_091!=""&position_dash!="",
ifelse(as.integer(position_091)<as.integer(position_dash), "przedmiotowa", "podmiotowa"),
ifelse(position_dash!="","podmiotowa","przedmiotowa"))),
rodzaj_ksiazki = ifelse(czy_ma_ukd=="nie","",as.character(rodzaj_ksiazki)))
gatunki_podmiotowe <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
select(X655) %>%
unique() %>%
cSplit(.,"X655",sep = "|",direction = "long") %>%
unique() %>%
filter(str_detect(X655,"\\$y[\\d-]+ w\\."))
gatunki_podmiotowe <- str_replace_all(str_replace_all(paste(gatunki_podmiotowe$X655,collapse = "|"),"(.{2})(\\$a)","\\2"),"\\$","\\\\$")
bn_ok$czy_podmiotowy <- grepl(gatunki_podmiotowe,bn_ok$X655)|grepl(gatunki_podmiotowe,bn_ok$X650)
bn_ok <- bn_ok %>%
mutate(rodzaj_ksiazki = ifelse(str_count(X245, " / ")+1>2,"antologia",
ifelse(str_count(X245, " / ")+1==2,"współwydanie",
ifelse(rodzaj_ksiazki==""&czy_podmiotowy==TRUE&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&grepl("aPamiętnik|aLiteratura podróżnicza",X655)&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&grepl("aReportaż",X655)&grepl("\\$y",X655)&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&(X655=="\\7$aReportaż polski$2DBN"|X655=="\\7$aReportaż$2DBN")&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(rodzaj_ksiazki==""&czy_podmiotowy==FALSE,"przedmiotowa",as.character(rodzaj_ksiazki)))))))),
rodzaj_ksiazki = ifelse(rodzaj_ksiazki=="","przedmiotowa",as.character(rodzaj_ksiazki))) %>%
select(1:29,rodzaj_ksiazki)IOK_podm <- bn_ok %>%
filter(!grepl("\\$t",X700)) %>%
mutate(#X500 = ifelse(grepl("\\$aTyt[,\\.] oryg",X500),"",as.character(X500)),
ile_gatunkow = ifelse(rodzaj_ksiazki=="podmiotowa",str_count(X655,"\\$a"),"nie"),
tylko_podmiotowe = ifelse(str_count(X655,"\\$a")>0&str_count(X655,"\\$a")==str_count(X655,"\\$y")&str_count(X655,"\\$y")!=str_count(X655,"\\$x"),"tak","nie")) %>%
filter(str_count(X100,"\\$a")==1) %>%
filter(!grepl("pseud|nazwa",X500,ignore.case = TRUE)&X501==""&(tylko_podmiotowe=="tak"|ile_gatunkow=="1")&X100!="")
#zestawienie 100 i 245
#100
marc_field_100 <- IOK_podm %>%
select(id,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(IOK_podm$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 marc_field_100 <- marc_field_100 %>%
select(id,`$a`) %>%
mutate(bn_nazwisko = ifelse(str_detect(`$a`,","),str_replace(`$a`,"^(.*?)(, )(.*?$)","\\1"),as.character(`$a`)),
bn_imie = ifelse(str_detect(`$a`,","),str_replace(`$a`,"^(.*?)(, )(.*?$)","\\3"),"")) %>%
select(id,bn_nazwisko,bn_imie)
IOK_podm <- IOK_podm %>%
full_join(.,marc_field_100,by = "id")
x <- 1:length(IOK_podm$id)
for (i in x) {
IOK_podm$czy_nazwisko[i] <- grepl(IOK_podm$bn_nazwisko[i],IOK_podm$X245[i])
IOK_podm$czy_imie[i] <- grepl(IOK_podm$bn_imie[i],IOK_podm$X245[i])
}
#usunięcie tych, które nie mają tytułów oryginalnych
IOK_podm <- IOK_podm %>%
filter(czy_nazwisko==1&czy_imie==1&!grepl("et al\\.",X245)) %>%
select(-bn_nazwisko,-bn_imie,-czy_nazwisko,-czy_imie) %>%
unique() %>%
mutate(jezyk = str_extract(X041,("(?<=\\$h)(...)"))) %>%
mutate(czy_tytul_obcy = ifelse(is.na(jezyk),"nie dotyczy",
ifelse(!grepl("pol",jezyk),
ifelse(X246!="","ok",
ifelse(grepl("Tyt[,\\.] oryg",X501)|grepl("Tyt[,\\.] oryg",X500),"ok","problem")),"nie dotyczy"))) %>%
filter(czy_tytul_obcy!="problem") %>%
select(id) %>%
mutate(automatyczna_podmiotowa = "tak")
###tutaj kończą się automatyczne podmiotowe
#automatyczny IOK dla przedmiotowych; osoba z PBL jako temat
#600
IOK_przedm <- bn_ok %>%
filter(str_count(X600,"\\$a")==1)
marc_field_600 <- IOK_przedm %>%
select(id,X600)%>%
filter(X600!="") %>%
mutate(X600=str_replace_all(X600,"(^|\\|)","~\\1")) %>%
cSplit(.,"X600",sep = "~",direction = "long") %>%
filter(X600!="") %>%
mutate(X600=str_remove_all(X600,"^\\|")) %>%
mutate(indicator = str_replace_all(X600,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(IOK_przedm$X600,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_600)[1]))
colnames(empty_table) <-subfield_list
marc_field_600<-cbind(marc_field_600,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_600$X600 <- str_replace(marc_field_600$X600,subfield_list_char[i],"|\\1")
}Progress: 1 on 12 Progress: 2 on 12 Progress: 3 on 12 Progress: 4 on 12 Progress: 5 on 12 Progress: 6 on 12 Progress: 7 on 12 Progress: 8 on 12 Progress: 9 on 12 Progress: 10 on 12 Progress: 11 on 12 Progress: 12 on 12 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_600[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_600$X600),str_replace_all(gsub(string,"\\3",marc_field_600$X600),"\\${2}.", "~"),NA)
}Progress: 1 on 12 Progress: 2 on 12 Progress: 3 on 12 Progress: 4 on 12 Progress: 5 on 12 Progress: 6 on 12 Progress: 7 on 12 Progress: 8 on 12 Progress: 9 on 12 Progress: 10 on 12 Progress: 11 on 12 Progress: 12 on 12 marc_field_600 <- marc_field_600 %>%
select(id,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(id,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
tworca_i_dzial <- dbGetQuery(PBL,
"select tw.tw_tworca_id \"pbl_id\", tw.tw_nazwisko||', '||tw.tw_imie \"tworca_pbl\", dz.dz_dzial_id||'|'||dz.dz_nazwa \"osoba_pbl_dzial_id_name\"
from pbl_tworcy tw
full join pbl_dzialy dz on dz.dz_dzial_id=tw.tw_dz_dzial_id")
bn_records_pbl_people <- marc_field_600 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
select(1:3) %>%
left_join(.,tworca_i_dzial,by = "pbl_id")Column `name`/`BN_name` joining character vector and factor, coercing into character vectorbn_records_pbl_people_id <- bn_records_pbl_people %>%
select(id,tworca_pbl) %>%
group_by(id) %>%
mutate(tworca_pbl = paste(unique(tworca_pbl),collapse = "~")) %>%
ungroup() %>%
unique() %>%
filter(!grepl("~",tworca_pbl))
IOK_przedm <- IOK_przedm %>%
full_join(.,bn_records_pbl_people_id,by = "id") %>%
filter(rodzaj_ksiazki=="przedmiotowa"&X600!=""&str_count(X600,"\\$a")==1&!is.na(tworca_pbl)) %>%
mutate(czy_o_czyms = str_detect(X655,"\\$x"))
IOK_przedm$czy_gatunek <- grepl(gatunki_podmiotowe,IOK_przedm$X655)
IOK_przedm <- IOK_przedm %>%
filter((grepl("tematyka|biografia|historia",X655,ignore.case = TRUE)|czy_o_czyms==TRUE)&!grepl("Księga pamiątkowa",X655)) %>%
filter(grepl("((a|:)(821))|(791)",X080)) %>%
select(id) %>%
mutate(automatyczna_przedmiotowa = "tak")
bn_ok <- bn_ok %>%
full_join(.,IOK_podm,by = "id") %>%
full_join(.,IOK_przedm,by = "id") %>%
mutate(czy_automatycznie = ifelse(!is.na(automatyczna_podmiotowa),"podmiotowa",
ifelse(!is.na(automatyczna_przedmiotowa),"przedmiotowa","nie"))) %>%
select(-automatyczna_podmiotowa,-automatyczna_przedmiotowa) %>%
mutate(czy_automatycznie = ifelse(czy_automatycznie=="podmiotowa"&rodzaj_ksiazki!="podmiotowa","nie",as.character(czy_automatycznie)))
#write.csv2(bn_ok, "C:/Users/Cezary/Desktop/bn_ok_2009.csv", row.names = F, na = '', fileEncoding = 'UTF-8')na_pozniej <- bn_ok %>%
filter(czy_automatycznie=="nie"&rodzaj_ksiazki=="przedmiotowa"&dziedzina_PBL=="bez_ukd_PBL") %>%
mutate(kategorie_literackie = ifelse(grepl("mitolog|baś|bajk|poezj|liryk|epik|dramat|literac|literat|pisar|wiersz|proz|powieś|opowiad|miniatur|aforyzm|esej|szkic|feliet|report|dzienni|wspomnie|autobiograf|kaza|rozmyśl|list",X650,ignore.case = TRUE)|grepl("mitolog|baś|bajk|poezj|liryk|epik|dramat|literac|literat|pisar|wiersz|proz|powieś|opowiad|miniatur|aforyzm|esej|szkic|feliet|report|dzienni|wspomnie|autobiograf|kaza|rozmyśl|list",X655, ignore.case = TRUE),"tak","nie")) %>%
filter(kategorie_literackie=="nie") %>%
mutate(lata = ifelse(grepl("\\d{2}-",X100),str_replace(X100,"(.*\\$d\\(.*?)(\\d{2,4})(\\?{0,1}-.*)","\\2"),NA),
lata_temat = ifelse(grepl("\\d{2}-",X600),str_replace(X600,"(.*\\$d\\(.*?)(\\d{2,4})(\\?{0,1}-.*)","\\2"),NA)) %>%
filter((is.na(lata)&is.na(lata_temat))|!(as.integer(lata)<1800)|!(as.integer(lata_temat)<1800)) %>%
select(id)pojawi戼㸳y si攼㹡 warto㤼㹣ci NA na skutek przekszta戼㸳ceniapojawi戼㸳y si攼㹡 warto㤼㹣ci NA na skutek przekszta戼㸳ceniawrite.csv2(na_pozniej, "C:/Users/Cezary/Desktop/bn_2009_ks_na_pozniej.csv", row.names = F, na = '', fileEncoding = 'UTF-8')
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from na_pozniej b)")Czy jest sens to robić?
###automatycznie działowanie przedmiotowej na podstawie dotychczasowych importów
#zapisy <- RJDBC::dbGetQuery(PBL,
# "select z.za_zapis_id, dz.dz_dzial_id, dz.dz_nazwa, z.za_status_imp, z.za_uwagi
# from pbl_zapisy z
# join pbl_dzialy dz on dz.dz_dzial_id=z.za_dz_dzial1_id
# where z.za_uwagi like '%import%'") %>%
# mutate(pracownik_pbl = str_extract(ZA_UWAGI, "(?<=akceptuje:)([A-Z]*)")) %>%
# select(-ZA_UWAGI)
#
#poprzednie_importy <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008) %>%
# full_join(.,zapisy,by = "ZA_ZAPIS_ID") %>%
# select(X650,X655,DZ_DZIAL_ID,DZ_NAZWA,ZA_STATUS_IMP) %>%
# mutate(X650 = str_remove_all(X650,"\\\\7"),
# X655 = str_remove_all(X655,"\\\\7"),
# X650 = str_remove_all(str_replace_all(X650,"(\\$a)","\\\\#7\\1"),"#"),
# X655 = str_remove_all(str_replace_all(X655,"(\\$a)","\\\\#7\\1"),"#")) %>%
# group_by_at(vars(X650:DZ_NAZWA)) %>%
# mutate(ZA_STATUS_IMP = paste(ZA_STATUS_IMP,collapse = "|")) %>%
# ungroup() %>%
# unique() %>%
# ungroup() %>%
# filter(!grepl("\\|",DZ_DZIAL_ID)) %>%
# filter(grepl("IOK",ZA_STATUS_IMP)) %>%
# filter(!grepl("INO|IMP|IPN|IPC",ZA_STATUS_IMP)) %>%
# filter(!grepl("osobowe",DZ_NAZWA)) %>%
# filter(!(is.na(X650)&is.na(X655))) %>%
# mutate(ile650 = str_count(X650,"\\|")+1,
# ile655 = str_count(X655,"\\|")+1) %>%
# filter(ile650<=10|ile655<=10) %>%
# select(-ile650,-ile655) %>%
# mutate(ile_statusow = str_count(ZA_STATUS_IMP,"\\|")+1) %>%
# arrange(X655,X650,-ile_statusow)
#poprzednie_importy$id_grupy <- cumsum(!duplicated(poprzednie_importy[1:2]))
#poprzednie_importy <- poprzednie_importy[!duplicated(poprzednie_importy$id_grupy),] %>%
# mutate(id = row_number()) %>%
# select(-ile_statusow,-id_grupy)
#
#do_dzialowania <- data.frame(id = as.integer(), X650 = as.character(), X655 = as.character(), stringsAsFactors = FALSE)
#x <- 1:length(poprzednie_importy$id)
#for (i in x){
# progress(match(i,x), max.value = length(x))
# if (is.na(poprzednie_importy$X650[i])&!is.na(poprzednie_importy$X655[i])){
# permutations <- as.data.frame(permutations(unlist(str_split(poprzednie_importy$X655[i],"\\|")), str_count(poprzednie_importy$X655[i],"\\|")+1)) %>%
# unite(data=.,col = "permutation", sep = "|") %>%
# mutate(X650 = NA,
# X655 = permutation,
# id = poprzednie_importy$id[i]) %>%
# select(id,X650,X655)
# do_dzialowania <- rbind(do_dzialowania,permutations)
# } else if (is.na(poprzednie_importy$X655[i])&!is.na(poprzednie_importy$X650[i])){
# permutations <- as.data.frame(permutations(unlist(str_split(poprzednie_importy$X650[i],"\\|")), str_count(poprzednie_importy$X650[i],"\\|")+1)) %>%
# unite(data=.,col = "permutation", sep = "|") %>%
# mutate(X650 = permutation,
# X655 = NA,
# id = poprzednie_importy$id[i]) %>%
# select(id,X650,X655)
# do_dzialowania <- rbind(do_dzialowania,permutations)
# } else {
# permutations <- as.data.frame(permutations(unlist(str_split(poprzednie_importy$X650[i],"\\|")), str_count(poprzednie_importy$X650[i],"\\|")+1)) %>%
# unite(data=.,col = "permutation", sep = "|") %>%
# mutate(X650 = permutation,
# id = poprzednie_importy$id[i]) %>%
# select(id,X650)
# permutations650 <- data.frame(stringsAsFactors = FALSE)
# permutations650 <- rbind(permutations650,permutations)
# permutations <- as.data.frame(permutations(unlist(str_split(poprzednie_importy$X655[i],"\\|")), str_count(poprzednie_importy$X655[i],"\\|")+1)) %>%
# unite(data=.,col = "permutation", sep = "|") %>%
# mutate(X655 = permutation,
# id = poprzednie_importy$id[i]) %>%
# select(id,X655)
# permutations655 <- data.frame(stringsAsFactors = FALSE)
# permutations655 <- rbind(permutations655,permutations)
# permutations <- merge(permutations650,permutations655,by = "id",all = TRUE) %>%
# select(id,X650,X655)
# do_dzialowania <- rbind(do_dzialowania,permutations)
# }
#}
#
#do_dzialowania <- do_dzialowania %>%
# full_join(.,poprzednie_importy %>% select(id,DZ_DZIAL_ID,DZ_NAZWA),by = "id") %>%
# select(-id)
#do_dzialowania[is.na(do_dzialowania)] <- ""
#####tutaj sprawdzić
#do_dzialowania_przedm <- merge(bn_ok %>% filter(czy_automatycznie=="nie"&rodzaj_ksiazki=="przedmiotowa"),do_dzialowania, by = c("X650","X655")) %>%
# select(id,DZ_DZIAL_ID,DZ_NAZWA)#wczytanie kartotek PBL
redaktorzy_dzialow <- sheets_read(ss = "1Baje-ZfPgAKEDAoDzeo_eCBDrsL7jAXt6ubP2cedbFc", sheet = "redaktorzy_działów") %>%
select(DZ_DZIAL_ID, DZ_NAZWA, redaktor_dzialu) #%>%
#mutate(DZ_DZIAL_ID = as.character(DZ_DZIAL_ID))
PBL_dzialy <- dbReadTable(PBL,'PBL_DZIALY') %>%
select(1,3,6)
PBL_dzialy_path <- merge(x = PBL_dzialy, y = PBL_dzialy, by.x = "DZ_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- merge(x = PBL_dzialy_path, y = PBL_dzialy, by.x = "NAD_NAD_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_NAD_DZ_DZIAL_ID", "NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- merge(x = PBL_dzialy_path, y = PBL_dzialy, by.x = "NAD_NAD_NAD_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_DZ_DZIAL_ID", "NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- merge(x = PBL_dzialy_path, y = PBL_dzialy, by.x = "NAD_NAD_NAD_NAD_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_DZ_DZIAL_ID", "NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- merge(x = PBL_dzialy_path, y = PBL_dzialy, by.x = "NAD_NAD_NAD_NAD_NAD_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_NAD_NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_DZ_DZIAL_ID", "NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- PBL_dzialy_path %>%
select(-length(PBL_dzialy_path)) %>%
filter(DZ_DZIAL_ID!=0) %>%
select(6,7,5,8,4,9,3,10,2,11,1,12) %>%
unique()
PBL_dz_osob <- PBL_dzialy_path %>%
filter(grepl("osobowe", DZ_NAZWA)|grepl("osobowe", NAD_DZ_NAZWA)|grepl("osobowe", NAD_NAD_DZ_NAZWA)|grepl("osobowe", NAD_NAD_NAD_DZ_NAZWA)|grepl("osobowe", NAD_NAD_NAD_NAD_DZ_NAZWA)|grepl("osobowe", NAD_NAD_NAD_NAD_NAD_DZ_NAZWA)) %>%
select(1,2,3,4,5,6,7,8) %>%
filter(DZ_DZIAL_ID!=148)
PBL_dz_osob_1 <- PBL_dz_osob %>%
select(1,2,3,4)
PBL_dz_osob_2 <- PBL_dz_osob %>%
select(1,2,5,6)
PBL_dz_osob_3 <- PBL_dz_osob %>%
select(1,2,7,8)
colnames(PBL_dz_osob_2) <- c(names(PBL_dz_osob_1))
colnames(PBL_dz_osob_3) <- c(names(PBL_dz_osob_1))
PBL_dz_osob <- rbind(PBL_dz_osob_1,PBL_dz_osob_2,PBL_dz_osob_3) %>%
filter(!is.na(NAD_DZ_DZIAL_ID)) %>%
unique()
PBL_dz_osob <- rbind(PBL_dz_osob, c("15043", "Hasła osobowe(luksemburska)","15043", "Hasła osobowe(luksemburska)"), c("430", "Hasła osobowe (Ludzie teatru i filmu)","430", "Hasła osobowe (Ludzie teatru i filmu)"))
PBL_dz_osob_bez_teatru <- PBL_dz_osob %>%
filter(DZ_DZIAL_ID!=430)
PBL_tworcy <- dbReadTable(PBL,'PBL_TWORCY')
tw_i_dz_podm <- merge(x=PBL_tworcy,y=PBL_dz_osob_bez_teatru, by.x = "TW_DZ_DZIAL_ID", by.y = "NAD_DZ_DZIAL_ID", all.x = TRUE) %>%
arrange(TW_TWORCA_ID)
tw_i_dz_podm <- data.frame(tw_i_dz_podm, pol_osob = ifelse(tw_i_dz_podm$TW_DZ_DZIAL_ID == 148 & substr(tw_i_dz_podm$TW_NAZWISKO,1,1)==str_sub(tw_i_dz_podm$DZ_NAZWA,nchar(as.character(tw_i_dz_podm$DZ_NAZWA)),nchar(as.character(tw_i_dz_podm$DZ_NAZWA))),TRUE,FALSE), pol = ifelse(tw_i_dz_podm$TW_DZ_DZIAL_ID == 148, TRUE, FALSE)) %>%
filter(pol_osob == TRUE | pol == FALSE)
PBL_tworcy_podm <- tw_i_dz_podm %>%
select(TW_TWORCA_ID, TW_NAZWISKO, TW_IMIE, DZ_DZIAL_ID, DZ_NAZWA, TW_NAZW_WLASCIWE, TW_PSEUDONIMY, TW_DATA_URODZIN, TW_DATA_ZGONU, TW_ROCZNIKI_PBL, TW_SLOWA_KLUCZOWE, TW_UWAGI, TW_ROK_URODZIN, TW_ROK_ZGONU, TW_LICZBA_ZAPISOW, TW_ADNOTACJE, TW_TRANSLITERACJE) %>%
filter(!is.na(DZ_DZIAL_ID))
colnames(PBL_tworcy_podm) <- c("TW_TWORCA_ID", "TW_NAZWISKO", "TW_IMIE", "TW_DZ_DZIAL_ID", "DZ_NAZWA", "TW_NAZW_WLASCIWE", "TW_PSEUDONIMY", "TW_DATA_URODZIN", "TW_DATA_ZGONU", "TW_ROCZNIKI_PBL", "TW_SLOWA_KLUCZOWE", "TW_UWAGI", "TW_ROK_URODZIN", "TW_ROK_ZGONU", "TW_LICZBA_ZAPISOW", "TW_ADNOTACJE", "TW_TRANSLITERACJE")
PBL_tworcy_podm <- PBL_tworcy_podm %>%
mutate(nazwa = ifelse(is.na(TW_IMIE),as.character(TW_NAZWISKO),paste(TW_NAZWISKO,TW_IMIE, sep = "")),
nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")),
nazwa = str_replace_all(str_to_lower(nazwa), "\\W", ""))
tw_i_dz <- merge(x=PBL_tworcy,y=PBL_dz_osob, by.x = "TW_DZ_DZIAL_ID", by.y = "NAD_DZ_DZIAL_ID", all.x = TRUE) %>%
arrange(TW_TWORCA_ID)
tw_i_dz <- data.frame(tw_i_dz, pol_osob = ifelse(tw_i_dz$TW_DZ_DZIAL_ID == 148 & substr(tw_i_dz$TW_NAZWISKO,1,1)==str_sub(tw_i_dz$DZ_NAZWA,nchar(as.character(tw_i_dz$DZ_NAZWA)),nchar(as.character(tw_i_dz$DZ_NAZWA))),TRUE,FALSE), pol = ifelse(tw_i_dz$TW_DZ_DZIAL_ID == 148, TRUE, FALSE)) %>%
filter(pol_osob == TRUE | pol == FALSE)
PBL_tworcy <- tw_i_dz %>%
select(TW_TWORCA_ID, TW_NAZWISKO, TW_IMIE, DZ_DZIAL_ID, DZ_NAZWA, TW_NAZW_WLASCIWE, TW_PSEUDONIMY, TW_DATA_URODZIN, TW_DATA_ZGONU, TW_ROCZNIKI_PBL, TW_SLOWA_KLUCZOWE, TW_UWAGI, TW_ROK_URODZIN, TW_ROK_ZGONU, TW_LICZBA_ZAPISOW, TW_ADNOTACJE, TW_TRANSLITERACJE)
colnames(PBL_tworcy) <- c("TW_TWORCA_ID", "TW_NAZWISKO", "TW_IMIE", "TW_DZ_DZIAL_ID", "DZ_NAZWA", "TW_NAZW_WLASCIWE", "TW_PSEUDONIMY", "TW_DATA_URODZIN", "TW_DATA_ZGONU", "TW_ROCZNIKI_PBL", "TW_SLOWA_KLUCZOWE", "TW_UWAGI", "TW_ROK_URODZIN", "TW_ROK_ZGONU", "TW_LICZBA_ZAPISOW", "TW_ADNOTACJE", "TW_TRANSLITERACJE")
PBL_tworcy <- PBL_tworcy %>%
mutate(nazwa = ifelse(is.na(TW_IMIE),as.character(TW_NAZWISKO),paste(TW_NAZWISKO,TW_IMIE, sep = "")),
nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")),
nazwa = str_replace_all(str_to_lower(nazwa), "\\W", ""),
TW_DZ_DZIAL_ID = as.numeric(TW_DZ_DZIAL_ID))
PBL_autorzy <- dbReadTable(PBL,'PBL_AUTORZY') %>%
mutate(nazwa = ifelse(is.na(AM_IMIE),as.character(AM_NAZWISKO),paste(AM_NAZWISKO,AM_IMIE, sep = "")),
nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")),
nazwa = str_replace_all(str_to_lower(nazwa), "\\W", "")) %>%
filter(nazwa != "nana")
PBL_autor_to_tworca <- sheets_read(ss = "1RuyR3pZl4vNLprIqAWgiWfvG8EJhYGcLWb24J7VwrvA", sheet = "Arkusz1")
PBL_wspoltworcy <- dbReadTable(PBL,'PBL_OSOBY') %>%
mutate(nazwa_prosta = str_replace_all(str_to_lower(ifelse(is.na(OS_IMIE),as.character(OS_NAZWISKO),paste(OS_NAZWISKO,OS_IMIE, sep = ""))), "\\W", "")) %>%
filter(nazwa_prosta !="nana")
PBL_funkcje <- sheets_read(ss = "1htn_L6REs3GdG1xSiGHIfr6MJvjmmU_kVGxiMZtCV24", sheet = "Arkusz1")
PBL_wydawnictwa <- dbReadTable(PBL,'PBL_WYDAWNICTWA') %>%
mutate(nazwa_prosta = str_replace_all(str_to_lower(paste(WY_MIASTO, WY_NAZWA)), "\\W", "")) %>%
filter(nazwa_prosta !="nana")
PBL_rodzaje_zapisow <- dbReadTable(PBL,'PBL_RODZAJE_ZAPISOW')bn_ok <- read.csv2("C:/Users/Cezary/Downloads/bn_ok_2009.csv", encoding = "UTF-8", header = TRUE, stringsAsFactors = FALSE)przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa")
Było 50 lub więcej ostrzeżeń (użyj 'warnings()' aby zobaczyć pierwsze 50)###przypisanie redaktora na podstawie osoby z 600 jako tematu - książki o twórcy
#600
marc_field_600 <- przedmiotowa_redaktorzy %>%
select(id,X600)%>%
filter(X600!="") %>%
mutate(X600=str_replace_all(X600,"(^|\\|)","~\\1")) %>%
cSplit(.,"X600",sep = "~",direction = "long") %>%
filter(X600!="") %>%
mutate(X600=str_remove_all(X600,"^\\|")) %>%
mutate(indicator = str_replace_all(X600,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(przedmiotowa_redaktorzy$X600,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_600)[1]))
colnames(empty_table) <-subfield_list
marc_field_600<-cbind(marc_field_600,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_600$X600 <- str_replace(marc_field_600$X600,subfield_list_char[i],"|\\1")
}Progress: 1 on 10 Progress: 2 on 10 Progress: 3 on 10 Progress: 4 on 10 Progress: 5 on 10 Progress: 6 on 10 Progress: 7 on 10 Progress: 8 on 10 Progress: 9 on 10 Progress: 10 on 10 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_600[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_600$X600),str_replace_all(gsub(string,"\\3",marc_field_600$X600),"\\${2}.", "~"),NA)
}Progress: 1 on 10 Progress: 2 on 10 Progress: 3 on 10 Progress: 4 on 10 Progress: 5 on 10 Progress: 6 on 10 Progress: 7 on 10 Progress: 8 on 10 Progress: 9 on 10 Progress: 10 on 10 marc_field_600 <- marc_field_600 %>%
select(id,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(id,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
marc_field_600 <- marc_field_600 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
left_join(.,PBL_tworcy,by = c("pbl_id"="TW_TWORCA_ID")) %>%
left_join(.,redaktorzy_dzialow,by = c("TW_DZ_DZIAL_ID"="DZ_DZIAL_ID")) %>%
select(id,TW_TWORCA_ID=pbl_id,TW_NAZWISKO,TW_IMIE,TW_DZ_DZIAL_ID,DZ_NAZWA=DZ_NAZWA.x,redaktor_dzialu)Column `name`/`BN_name` joining character vector and factor, coercing into character vectorcount <- as.data.frame(table(marc_field_600$id))
marc_field_600 <- merge(marc_field_600,count,by.x = "id", by.y = "Var1") %>%
filter(Freq<2) %>%
select(-Freq) %>%
rename(DZ_DZIAL_ID=TW_DZ_DZIAL_ID)
###przypisanie do redaktorów na podstawie literatury z pola 655
`%notin%` <- Negate(`%in%`)
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(id %notin% marc_field_600$id)
#655
marc_field_655 <- przedmiotowa_redaktorzy %>%
select(id,X655)%>%
filter(X655!="") %>%
mutate(X655=str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655=str_remove_all(X655,"^\\|")) %>%
mutate(indicator = str_replace_all(X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(przedmiotowa_redaktorzy$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 marc_field_655 <- marc_field_655 %>%
select(id,`$a`) %>%
unique()
PBL_literatury_obce <- PBL_dzialy_path %>%
filter(NAD_DZ_DZIAL_ID==30) %>%
select(1,2) %>%
left_join(.,redaktorzy_dzialow,by = "DZ_DZIAL_ID") %>%
filter(!is.na(redaktor_dzialu)) %>%
select(1,DZ_NAZWA = 2,4) %>%
mutate(nazwa = substr(str_replace(DZ_NAZWA, "(.*?)( )(.*?)","\\3"),1,nchar(str_replace(DZ_NAZWA, "(.*?)( )(.*?)","\\3"))-1),
nazwa = ifelse(nazwa=="romska (cygańska","romsk|cygańsk",as.character(nazwa)))
reczne <- data.frame(DZ_DZIAL_ID = c(32,32,32,32,59,86,107,149,67,69,34,34,34,34,34,55,32,99,34),DZ_NAZWA = c("Literatura brytyjska i irlandzka","Literatura brytyjska i irlandzka","Literatura brytyjska i irlandzka","Literatura brytyjska i irlandzka","Literatura grecka starożytna","Literatura łacińska średniowieczna","Literatura syryjska","Literatura esperanto","Literatura holenderska","Literatury Indii","Literatury Afryki Subsaharyjskiej","Literatury Afryki Subsaharyjskiej","Literatury Afryki Subsaharyjskiej","Literatury Afryki Subsaharyjskiej","Literatury Afryki Subsaharyjskiej", "Literatura egipsko-arabska", "Literatura brytyjska i irlandzka","Literatura palestyńsko-arabska","Literatury Afryki Subsaharyjskiej"), redaktor_dzialu = c("BEATAK","BEATAK","BEATAK","BEATAK","BEATAS","BEATAS","BEATAD","CEZARY","TOMASZU","EWA","EWA","EWA","EWA","EWA","EWA","BEATAD","BEATAK","BEATAD","EWA"), nazwa = c("angielsk","szkock","irlandzk","walijsk","greck","łacińsk","syryjsk","esperanck","niderlandzk","indyjsk","południowoafryka","senegalsk","nigeryjsk","afrykańsk","ruandyjsk","egipsk. nowożytn","celtyck","palestyńsk","somalijsk"))
PBL_literatury_obce <- rbind(PBL_literatury_obce,reczne)
marc_field_655 <- sqldf("select *
from marc_field_655 a
left join PBL_literatury_obce b on a.`$a` like ('%'||b.nazwa||'%')") %>%
arrange(id,DZ_DZIAL_ID)
marc_field_655$same <- cumsum(!duplicated(marc_field_655[1]))
marc_field_655 <- marc_field_655[!duplicated(marc_field_655$same),] %>%
select(id,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA) %>%
select(names(marc_field_600))
###przypisanie do redaktorów na podstawie literatury z pola 650
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(id %notin% marc_field_600$id) %>%
filter(id %notin% marc_field_655$id)
#650
marc_field_650 <- przedmiotowa_redaktorzy %>%
select(id,X650)%>%
filter(X650!="") %>%
mutate(X650=str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650=str_remove_all(X650,"^\\|")) %>%
mutate(indicator = str_replace_all(X650,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(przedmiotowa_redaktorzy$X650,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_650)[1]))
colnames(empty_table) <-subfield_list
marc_field_650<-cbind(marc_field_650,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_650$X650 <- str_replace(marc_field_650$X650,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_650[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_650$X650),str_replace_all(gsub(string,"\\3",marc_field_650$X650),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 marc_field_650 <- marc_field_650 %>%
select(id,`$a`) %>%
unique()
marc_field_650 <- sqldf("select *
from marc_field_650 a
left join PBL_literatury_obce b on a.`$a` like ('%'||b.nazwa||'%')") %>%
arrange(id,DZ_DZIAL_ID)
marc_field_650$same <- cumsum(!duplicated(marc_field_650[1]))
marc_field_650 <- marc_field_650[!duplicated(marc_field_650$same),] %>%
select(id,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA) %>%
select(names(marc_field_600))
do_przedmiotowej1 <- rbind(marc_field_600,marc_field_655,marc_field_650)
#przypisanie na podstawie deskryptorów tematycznych z 650 i 655
zapisy <- RJDBC::dbGetQuery(PBL,
"select z.za_zapis_id, dz.dz_dzial_id, dz.dz_nazwa, rz.rz_rodzaj_id, rz.rz_nazwa, z.za_status_imp, z.za_uwagi
from pbl_zapisy z
join pbl_dzialy dz on dz.dz_dzial_id=z.za_dz_dzial1_id
join pbl_rodzaje_zapisow rz on rz.rz_rodzaj_id=z.za_rz_rodzaj1_id
where z.za_uwagi like '%import%'") %>%
mutate(pracownik_pbl = str_extract(ZA_UWAGI, "(?<=akceptuje:)([A-Z]*)")) %>%
select(-ZA_UWAGI)
nazwy_lit_obcych <- str_replace_all(paste(PBL_literatury_obce$nazwa,collapse = "|"),"\\(","\\\\(")
poprzednie_importy <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008) %>%
full_join(.,zapisy,by = "ZA_ZAPIS_ID") %>%
select(ZA_ZAPIS_ID,X650,X655,DZ_DZIAL_ID,DZ_NAZWA,RZ_RODZAJ_ID,RZ_NAZWA,pracownik_pbl,ZA_STATUS_IMP) %>%
mutate(X650 = str_remove_all(X650,"\\\\7"),
X655 = str_remove_all(X655,"\\\\7"),
X650 = str_remove_all(str_replace_all(X650,"(\\$a)","\\\\#7\\1"),"#"),
X655 = str_remove_all(str_replace_all(X655,"(\\$a)","\\\\#7\\1"),"#")) %>%
unique() %>%
filter(RZ_RODZAJ_ID %notin% c(0,1,2,250,764)) %>%
arrange(pracownik_pbl,DZ_DZIAL_ID) %>%
filter(!grepl(nazwy_lit_obcych,X650)&!grepl(nazwy_lit_obcych,X655)) %>%
filter(!is.na(pracownik_pbl)) %>%
filter(ZA_STATUS_IMP %in% c("IOK","IPC"))
#przypisanie na podstawie częstotliwości deskryptorów 655
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(id %notin% do_przedmiotowej1$id)
deskryptory655 <- poprzednie_importy %>%
select(X655,pracownik_pbl,DZ_DZIAL_ID,DZ_NAZWA) %>%
filter(!is.na(X655)) %>%
unite(data=.,col = "deskryptor655", sep = "~")
deskryptory655 <- as.data.frame(table(deskryptory655$deskryptor655)) %>%
cSplit(.,"Var1",sep = "~",direction = "wide") %>%
rename(X655 = Var1_1,
redaktor_dzialu = Var1_2,
DZ_DZIAL_ID = Var1_3,
DZ_NAZWA = Var1_4) %>%
mutate(X655 = str_remove_all(X655,"\\\\7\\$a"),
X655 = str_remove_all(X655,"\\$2DBN"),
X655 = str_replace_all(X655,"\\$.|\\|"," "),
X655 = str_replace_all(X655," ",".*")) %>%
arrange(X655,-Freq,DZ_NAZWA)
deskryptory655$id_grupy <- cumsum(!duplicated(deskryptory655[2]))
deskryptory655 <- deskryptory655[!duplicated(deskryptory655$id_grupy),] %>%
select(-id_grupy) %>%
arrange(-Freq)
x <- 1:length(deskryptory655$X655)
test <- data.frame(stringsAsFactors = FALSE)
for (i in x) {
progress(match(i,x), max.value = length(x))
do_przedmiotowej2 <- przedmiotowa_redaktorzy %>%
mutate(redaktor_dzialu = ifelse(grepl(deskryptory655$X655[i],X655),as.character(deskryptory655$redaktor_dzialu)[i],NA),
ile = ifelse(grepl(deskryptory655$X655[i],X655),as.integer(deskryptory655$Freq)[i],NA),
co = ifelse(grepl(deskryptory655$X655[i],X655),as.character(deskryptory655$X655)[i],NA),
DZ_DZIAL_ID = ifelse(grepl(deskryptory655$X655[i],X655),as.integer(deskryptory655$DZ_DZIAL_ID)[i],NA),
DZ_NAZWA = ifelse(grepl(deskryptory655$X655[i],X655),as.character(deskryptory655$DZ_NAZWA)[i],NA)) %>%
filter(!is.na(redaktor_dzialu))
if (length(do_przedmiotowej2$redaktor_dzialu)>0) {
test <- rbind(test,do_przedmiotowej2)
} else {}
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do_przedmiotowej2 <- merge(test,count, by.x = "id",by.y = "Var1") %>%
mutate(dlugosc = nchar(co)) %>%
arrange(-Freq,id,-dlugosc,-ile)
do_przedmiotowej2$id_grupy <- cumsum(!duplicated(do_przedmiotowej2[1]))
do_przedmiotowej2 <- do_przedmiotowej2[!duplicated(do_przedmiotowej2$id_grupy),] %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA) %>%
select(names(do_przedmiotowej1))
#przypisanie na podstawie częstotliwości deskryptorów 650
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(id %notin% do_przedmiotowej1$id) %>%
filter(id %notin% do_przedmiotowej2$id)
deskryptory650 <- poprzednie_importy %>%
select(X650,pracownik_pbl,DZ_DZIAL_ID,DZ_NAZWA) %>%
filter(!is.na(X650)) %>%
unite(data=.,col = "deskryptor650", sep = "~")
deskryptory650 <- as.data.frame(table(deskryptory650$deskryptor650)) %>%
cSplit(.,"Var1",sep = "~",direction = "wide") %>%
rename(X650 = Var1_1,
redaktor_dzialu = Var1_2,
DZ_DZIAL_ID = Var1_3,
DZ_NAZWA = Var1_4) %>%
mutate(X650 = str_remove_all(X650,"\\\\7\\$a"),
X650 = str_remove_all(X650,"\\$2DBN"),
X650 = str_remove_all(X650,"\\\\\\\\"),
X650 = str_replace_all(X650,"\\$.|\\|"," "),
X650 = str_replace_all(X650," ",".*")) %>%
arrange(X650,-Freq,DZ_NAZWA)
deskryptory650$id_grupy <- cumsum(!duplicated(deskryptory650[2]))
deskryptory650 <- deskryptory650[!duplicated(deskryptory650$id_grupy),] %>%
select(-id_grupy) %>%
arrange(-Freq)
x <- 1:length(deskryptory650$X650)
test <- data.frame(stringsAsFactors = FALSE)
for (i in x) {
progress(match(i,x), max.value = length(x))
do_przedmiotowej3 <- przedmiotowa_redaktorzy %>%
mutate(redaktor_dzialu = ifelse(grepl(deskryptory650$X650[i],X650),as.character(deskryptory650$redaktor_dzialu)[i],NA),
ile = ifelse(grepl(deskryptory650$X650[i],X650),as.integer(deskryptory650$Freq)[i],NA),
co = ifelse(grepl(deskryptory650$X650[i],X650),as.character(deskryptory650$X650)[i],NA),
DZ_DZIAL_ID = ifelse(grepl(deskryptory650$X650[i],X650),as.integer(deskryptory650$DZ_DZIAL_ID)[i],NA),
DZ_NAZWA = ifelse(grepl(deskryptory650$X650[i],X650),as.character(deskryptory650$DZ_NAZWA)[i],NA)) %>%
filter(!is.na(redaktor_dzialu))
if (length(do_przedmiotowej3$redaktor_dzialu)>0) {
test <- rbind(test,do_przedmiotowej3)
} else {}
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595 on 1850 Progress: 596 on 1850 Progress: 597 on 1850 Progress: 598 on 1850 Progress: 599 on 1850 Progress: 600 on 1850 Progress: 601 on 1850 Progress: 602 on 1850 Progress: 603 on 1850 Progress: 604 on 1850 Progress: 605 on 1850 Progress: 606 on 1850 Progress: 607 on 1850 Progress: 608 on 1850 Progress: 609 on 1850 Progress: 610 on 1850 Progress: 611 on 1850 Progress: 612 on 1850 Progress: 613 on 1850 Progress: 614 on 1850 Progress: 615 on 1850 Progress: 616 on 1850 Progress: 617 on 1850 Progress: 618 on 1850 Progress: 619 on 1850 Progress: 620 on 1850 Progress: 621 on 1850 Progress: 622 on 1850 Progress: 623 on 1850 Progress: 624 on 1850 Progress: 625 on 1850 Progress: 626 on 1850 Progress: 627 on 1850 Progress: 628 on 1850 Progress: 629 on 1850 Progress: 630 on 1850 Progress: 631 on 1850 Progress: 632 on 1850 Progress: 633 on 1850 Progress: 634 on 1850 Progress: 635 on 1850 Progress: 636 on 1850 Progress: 637 on 1850 Progress: 638 on 1850 Progress: 639 on 1850 Progress: 640 on 1850 Progress: 641 on 1850 Progress: 642 on 1850 Progress: 643 on 1850 Progress: 644 on 1850 Progress: 645 on 1850 Progress: 646 on 1850 Progress: 647 on 1850 Progress: 648 on 1850 Progress: 649 on 1850 Progress: 650 on 1850 Progress: 651 on 1850 Progress: 652 on 1850 Progress: 653 on 1850 Progress: 654 on 1850 Progress: 655 on 1850 Progress: 656 on 1850 Progress: 657 on 1850 Progress: 658 on 1850 Progress: 659 on 1850 Progress: 660 on 1850 Progress: 661 on 1850 Progress: 662 on 1850 Progress: 663 on 1850 Progress: 664 on 1850 Progress: 665 on 1850 Progress: 666 on 1850 Progress: 667 on 1850 Progress: 668 on 1850 Progress: 669 on 1850 Progress: 670 on 1850 Progress: 671 on 1850 Progress: 672 on 1850 Progress: 673 on 1850 Progress: 674 on 1850 Progress: 675 on 1850 Progress: 676 on 1850 Progress: 677 on 1850 Progress: 678 on 1850 Progress: 679 on 1850 Progress: 680 on 1850 Progress: 681 on 1850 Progress: 682 on 1850 Progress: 683 on 1850 Progress: 684 on 1850 Progress: 685 on 1850 Progress: 686 on 1850 Progress: 687 on 1850 Progress: 688 on 1850 Progress: 689 on 1850 Progress: 690 on 1850 Progress: 691 on 1850 Progress: 692 on 1850 Progress: 693 on 1850 Progress: 694 on 1850 Progress: 695 on 1850 Progress: 696 on 1850 Progress: 697 on 1850 Progress: 698 on 1850 Progress: 699 on 1850 Progress: 700 on 1850 Progress: 701 on 1850 Progress: 702 on 1850 Progress: 703 on 1850 Progress: 704 on 1850 Progress: 705 on 1850 Progress: 706 on 1850 Progress: 707 on 1850 Progress: 708 on 1850 Progress: 709 on 1850 Progress: 710 on 1850 Progress: 711 on 1850 Progress: 712 on 1850 Progress: 713 on 1850 Progress: 714 on 1850 Progress: 715 on 1850 Progress: 716 on 1850 Progress: 717 on 1850 Progress: 718 on 1850 Progress: 719 on 1850 Progress: 720 on 1850 Progress: 721 on 1850 Progress: 722 on 1850 Progress: 723 on 1850 Progress: 724 on 1850 Progress: 725 on 1850 Progress: 726 on 1850 Progress: 727 on 1850 Progress: 728 on 1850 Progress: 729 on 1850 Progress: 730 on 1850 Progress: 731 on 1850 Progress: 732 on 1850 Progress: 733 on 1850 Progress: 734 on 1850 Progress: 735 on 1850 Progress: 736 on 1850 Progress: 737 on 1850 Progress: 738 on 1850 Progress: 739 on 1850 Progress: 740 on 1850 Progress: 741 on 1850 Progress: 742 on 1850 Progress: 743 on 1850 Progress: 744 on 1850 Progress: 745 on 1850 Progress: 746 on 1850 Progress: 747 on 1850 Progress: 748 on 1850 Progress: 749 on 1850 Progress: 750 on 1850 Progress: 751 on 1850 Progress: 752 on 1850 Progress: 753 on 1850 Progress: 754 on 1850 Progress: 755 on 1850 Progress: 756 on 1850 Progress: 757 on 1850 Progress: 758 on 1850 Progress: 759 on 1850 Progress: 760 on 1850 Progress: 761 on 1850 Progress: 762 on 1850 Progress: 763 on 1850 Progress: 764 on 1850 Progress: 765 on 1850 Progress: 766 on 1850 Progress: 767 on 1850 Progress: 768 on 1850 Progress: 769 on 1850 Progress: 770 on 1850 Progress: 771 on 1850 Progress: 772 on 1850 Progress: 773 on 1850 Progress: 774 on 1850 Progress: 775 on 1850 Progress: 776 on 1850 Progress: 777 on 1850 Progress: 778 on 1850 Progress: 779 on 1850 Progress: 780 on 1850 Progress: 781 on 1850 Progress: 782 on 1850 Progress: 783 on 1850 Progress: 784 on 1850 Progress: 785 on 1850 Progress: 786 on 1850 Progress: 787 on 1850 Progress: 788 on 1850 Progress: 789 on 1850 Progress: 790 on 1850 Progress: 791 on 1850 Progress: 792 on 1850 Progress: 793 on 1850 Progress: 794 on 1850 Progress: 795 on 1850 Progress: 796 on 1850 Progress: 797 on 1850 Progress: 798 on 1850 Progress: 799 on 1850 Progress: 800 on 1850 Progress: 801 on 1850 Progress: 802 on 1850 Progress: 803 on 1850 Progress: 804 on 1850 Progress: 805 on 1850 Progress: 806 on 1850 Progress: 807 on 1850 Progress: 808 on 1850 Progress: 809 on 1850 Progress: 810 on 1850 Progress: 811 on 1850 Progress: 812 on 1850 Progress: 813 on 1850 Progress: 814 on 1850 Progress: 815 on 1850 Progress: 816 on 1850 Progress: 817 on 1850 Progress: 818 on 1850 Progress: 819 on 1850 Progress: 820 on 1850 Progress: 821 on 1850 Progress: 822 on 1850 Progress: 823 on 1850 Progress: 824 on 1850 Progress: 825 on 1850 Progress: 826 on 1850 Progress: 827 on 1850 Progress: 828 on 1850 Progress: 829 on 1850 Progress: 830 on 1850 Progress: 831 on 1850 Progress: 832 on 1850 Progress: 833 on 1850 Progress: 834 on 1850 Progress: 835 on 1850 Progress: 836 on 1850 Progress: 837 on 1850 Progress: 838 on 1850 Progress: 839 on 1850 Progress: 840 on 1850 Progress: 841 on 1850 Progress: 842 on 1850 Progress: 843 on 1850 Progress: 844 on 1850 Progress: 845 on 1850 Progress: 846 on 1850 Progress: 847 on 1850 Progress: 848 on 1850 Progress: 849 on 1850 Progress: 850 on 1850 Progress: 851 on 1850 Progress: 852 on 1850 Progress: 853 on 1850 Progress: 854 on 1850 Progress: 855 on 1850 Progress: 856 on 1850 Progress: 857 on 1850 Progress: 858 on 1850 Progress: 859 on 1850 Progress: 860 on 1850 Progress: 861 on 1850 Progress: 862 on 1850 Progress: 863 on 1850 Progress: 864 on 1850 Progress: 865 on 1850 Progress: 866 on 1850 Progress: 867 on 1850 Progress: 868 on 1850 Progress: 869 on 1850 Progress: 870 on 1850 Progress: 871 on 1850 Progress: 872 on 1850 Progress: 873 on 1850 Progress: 874 on 1850 Progress: 875 on 1850 Progress: 876 on 1850 Progress: 877 on 1850 Progress: 878 on 1850 Progress: 879 on 1850 Progress: 880 on 1850 Progress: 881 on 1850 Progress: 882 on 1850 Progress: 883 on 1850 Progress: 884 on 1850 Progress: 885 on 1850 Progress: 886 on 1850 Progress: 887 on 1850 Progress: 888 on 1850 Progress: 889 on 1850 Progress: 890 on 1850 Progress: 891 on 1850 Progress: 892 on 1850 Progress: 893 on 1850 Progress: 894 on 1850 Progress: 895 on 1850 Progress: 896 on 1850 Progress: 897 on 1850 Progress: 898 on 1850 Progress: 899 on 1850 Progress: 900 on 1850 Progress: 901 on 1850 Progress: 902 on 1850 Progress: 903 on 1850 Progress: 904 on 1850 Progress: 905 on 1850 Progress: 906 on 1850 Progress: 907 on 1850 Progress: 908 on 1850 Progress: 909 on 1850 Progress: 910 on 1850 Progress: 911 on 1850 Progress: 912 on 1850 Progress: 913 on 1850 Progress: 914 on 1850 Progress: 915 on 1850 Progress: 916 on 1850 Progress: 917 on 1850 Progress: 918 on 1850 Progress: 919 on 1850 Progress: 920 on 1850 Progress: 921 on 1850 Progress: 922 on 1850 Progress: 923 on 1850 Progress: 924 on 1850 Progress: 925 on 1850 Progress: 926 on 1850 Progress: 927 on 1850 Progress: 928 on 1850 Progress: 929 on 1850 Progress: 930 on 1850 Progress: 931 on 1850 Progress: 932 on 1850 Progress: 933 on 1850 Progress: 934 on 1850 Progress: 935 on 1850 Progress: 936 on 1850 Progress: 937 on 1850 Progress: 938 on 1850 Progress: 939 on 1850 Progress: 940 on 1850 Progress: 941 on 1850 Progress: 942 on 1850 Progress: 943 on 1850 Progress: 944 on 1850 Progress: 945 on 1850 Progress: 946 on 1850 Progress: 947 on 1850 Progress: 948 on 1850 Progress: 949 on 1850 Progress: 950 on 1850 Progress: 951 on 1850 Progress: 952 on 1850 Progress: 953 on 1850 Progress: 954 on 1850 Progress: 955 on 1850 Progress: 956 on 1850 Progress: 957 on 1850 Progress: 958 on 1850 Progress: 959 on 1850 Progress: 960 on 1850 Progress: 961 on 1850 Progress: 962 on 1850 Progress: 963 on 1850 Progress: 964 on 1850 Progress: 965 on 1850 Progress: 966 on 1850 Progress: 967 on 1850 Progress: 968 on 1850 Progress: 969 on 1850 Progress: 970 on 1850 Progress: 971 on 1850 Progress: 972 on 1850 Progress: 973 on 1850 Progress: 974 on 1850 Progress: 975 on 1850 Progress: 976 on 1850 Progress: 977 on 1850 Progress: 978 on 1850 Progress: 979 on 1850 Progress: 980 on 1850 Progress: 981 on 1850 Progress: 982 on 1850 Progress: 983 on 1850 Progress: 984 on 1850 Progress: 985 on 1850 Progress: 986 on 1850 Progress: 987 on 1850 Progress: 988 on 1850 Progress: 989 on 1850 Progress: 990 on 1850 Progress: 991 on 1850 Progress: 992 on 1850 Progress: 993 on 1850 Progress: 994 on 1850 Progress: 995 on 1850 Progress: 996 on 1850 Progress: 997 on 1850 Progress: 998 on 1850 Progress: 999 on 1850 Progress: 1000 on 1850 Progress: 1001 on 1850 Progress: 1002 on 1850 Progress: 1003 on 1850 Progress: 1004 on 1850 Progress: 1005 on 1850 Progress: 1006 on 1850 Progress: 1007 on 1850 Progress: 1008 on 1850 Progress: 1009 on 1850 Progress: 1010 on 1850 Progress: 1011 on 1850 Progress: 1012 on 1850 Progress: 1013 on 1850 Progress: 1014 on 1850 Progress: 1015 on 1850 Progress: 1016 on 1850 Progress: 1017 on 1850 Progress: 1018 on 1850 Progress: 1019 on 1850 Progress: 1020 on 1850 Progress: 1021 on 1850 Progress: 1022 on 1850 Progress: 1023 on 1850 Progress: 1024 on 1850 Progress: 1025 on 1850 Progress: 1026 on 1850 Progress: 1027 on 1850 Progress: 1028 on 1850 Progress: 1029 on 1850 Progress: 1030 on 1850 Progress: 1031 on 1850 Progress: 1032 on 1850 Progress: 1033 on 1850 Progress: 1034 on 1850 Progress: 1035 on 1850 Progress: 1036 on 1850 Progress: 1037 on 1850 Progress: 1038 on 1850 Progress: 1039 on 1850 Progress: 1040 on 1850 Progress: 1041 on 1850 Progress: 1042 on 1850 Progress: 1043 on 1850 Progress: 1044 on 1850 Progress: 1045 on 1850 Progress: 1046 on 1850 Progress: 1047 on 1850 Progress: 1048 on 1850 Progress: 1049 on 1850 Progress: 1050 on 1850 Progress: 1051 on 1850 Progress: 1052 on 1850 Progress: 1053 on 1850 Progress: 1054 on 1850 Progress: 1055 on 1850 Progress: 1056 on 1850 Progress: 1057 on 1850 Progress: 1058 on 1850 Progress: 1059 on 1850 Progress: 1060 on 1850 Progress: 1061 on 1850 Progress: 1062 on 1850 Progress: 1063 on 1850 Progress: 1064 on 1850 Progress: 1065 on 1850 Progress: 1066 on 1850 Progress: 1067 on 1850 Progress: 1068 on 1850 Progress: 1069 on 1850 Progress: 1070 on 1850 Progress: 1071 on 1850 Progress: 1072 on 1850 Progress: 1073 on 1850 Progress: 1074 on 1850 Progress: 1075 on 1850 Progress: 1076 on 1850 Progress: 1077 on 1850 Progress: 1078 on 1850 Progress: 1079 on 1850 Progress: 1080 on 1850 Progress: 1081 on 1850 Progress: 1082 on 1850 Progress: 1083 on 1850 Progress: 1084 on 1850 Progress: 1085 on 1850 Progress: 1086 on 1850 Progress: 1087 on 1850 Progress: 1088 on 1850 Progress: 1089 on 1850 Progress: 1090 on 1850 Progress: 1091 on 1850 Progress: 1092 on 1850 Progress: 1093 on 1850 Progress: 1094 on 1850 Progress: 1095 on 1850 Progress: 1096 on 1850 Progress: 1097 on 1850 Progress: 1098 on 1850 Progress: 1099 on 1850 Progress: 1100 on 1850 Progress: 1101 on 1850 Progress: 1102 on 1850 Progress: 1103 on 1850 Progress: 1104 on 1850 Progress: 1105 on 1850 Progress: 1106 on 1850 Progress: 1107 on 1850 Progress: 1108 on 1850 Progress: 1109 on 1850 Progress: 1110 on 1850 Progress: 1111 on 1850 Progress: 1112 on 1850 Progress: 1113 on 1850 Progress: 1114 on 1850 Progress: 1115 on 1850 Progress: 1116 on 1850 Progress: 1117 on 1850 Progress: 1118 on 1850 Progress: 1119 on 1850 Progress: 1120 on 1850 Progress: 1121 on 1850 Progress: 1122 on 1850 Progress: 1123 on 1850 Progress: 1124 on 1850 Progress: 1125 on 1850 Progress: 1126 on 1850 Progress: 1127 on 1850 Progress: 1128 on 1850 Progress: 1129 on 1850 Progress: 1130 on 1850 Progress: 1131 on 1850 Progress: 1132 on 1850 Progress: 1133 on 1850 Progress: 1134 on 1850 Progress: 1135 on 1850 Progress: 1136 on 1850 Progress: 1137 on 1850 Progress: 1138 on 1850 Progress: 1139 on 1850 Progress: 1140 on 1850 Progress: 1141 on 1850 Progress: 1142 on 1850 Progress: 1143 on 1850 Progress: 1144 on 1850 Progress: 1145 on 1850 Progress: 1146 on 1850 Progress: 1147 on 1850 Progress: 1148 on 1850 Progress: 1149 on 1850 Progress: 1150 on 1850 Progress: 1151 on 1850 Progress: 1152 on 1850 Progress: 1153 on 1850 Progress: 1154 on 1850 Progress: 1155 on 1850 Progress: 1156 on 1850 Progress: 1157 on 1850 Progress: 1158 on 1850 Progress: 1159 on 1850 Progress: 1160 on 1850 Progress: 1161 on 1850 Progress: 1162 on 1850 Progress: 1163 on 1850 Progress: 1164 on 1850 Progress: 1165 on 1850 Progress: 1166 on 1850 Progress: 1167 on 1850 Progress: 1168 on 1850 Progress: 1169 on 1850 Progress: 1170 on 1850 Progress: 1171 on 1850 Progress: 1172 on 1850 Progress: 1173 on 1850 Progress: 1174 on 1850 Progress: 1175 on 1850 Progress: 1176 on 1850 Progress: 1177 on 1850 Progress: 1178 on 1850 Progress: 1179 on 1850 Progress: 1180 on 1850 Progress: 1181 on 1850 Progress: 1182 on 1850 Progress: 1183 on 1850 Progress: 1184 on 1850 Progress: 1185 on 1850 Progress: 1186 on 1850 Progress: 1187 on 1850 Progress: 1188 on 1850 Progress: 1189 on 1850 Progress: 1190 on 1850 Progress: 1191 on 1850 Progress: 1192 on 1850 Progress: 1193 on 1850 Progress: 1194 on 1850 Progress: 1195 on 1850 Progress: 1196 on 1850 Progress: 1197 on 1850 Progress: 1198 on 1850 Progress: 1199 on 1850 Progress: 1200 on 1850 Progress: 1201 on 1850 Progress: 1202 on 1850 Progress: 1203 on 1850 Progress: 1204 on 1850 Progress: 1205 on 1850 Progress: 1206 on 1850 Progress: 1207 on 1850 Progress: 1208 on 1850 Progress: 1209 on 1850 Progress: 1210 on 1850 Progress: 1211 on 1850 Progress: 1212 on 1850 Progress: 1213 on 1850 Progress: 1214 on 1850 Progress: 1215 on 1850 Progress: 1216 on 1850 Progress: 1217 on 1850 Progress: 1218 on 1850 Progress: 1219 on 1850 Progress: 1220 on 1850 Progress: 1221 on 1850 Progress: 1222 on 1850 Progress: 1223 on 1850 Progress: 1224 on 1850 Progress: 1225 on 1850 Progress: 1226 on 1850 Progress: 1227 on 1850 Progress: 1228 on 1850 Progress: 1229 on 1850 Progress: 1230 on 1850 Progress: 1231 on 1850 Progress: 1232 on 1850 Progress: 1233 on 1850 Progress: 1234 on 1850 Progress: 1235 on 1850 Progress: 1236 on 1850 Progress: 1237 on 1850 Progress: 1238 on 1850 Progress: 1239 on 1850 Progress: 1240 on 1850 Progress: 1241 on 1850 Progress: 1242 on 1850 Progress: 1243 on 1850 Progress: 1244 on 1850 Progress: 1245 on 1850 Progress: 1246 on 1850 Progress: 1247 on 1850 Progress: 1248 on 1850 Progress: 1249 on 1850 Progress: 1250 on 1850 Progress: 1251 on 1850 Progress: 1252 on 1850 Progress: 1253 on 1850 Progress: 1254 on 1850 Progress: 1255 on 1850 Progress: 1256 on 1850 Progress: 1257 on 1850 Progress: 1258 on 1850 Progress: 1259 on 1850 Progress: 1260 on 1850 Progress: 1261 on 1850 Progress: 1262 on 1850 Progress: 1263 on 1850 Progress: 1264 on 1850 Progress: 1265 on 1850 Progress: 1266 on 1850 Progress: 1267 on 1850 Progress: 1268 on 1850 Progress: 1269 on 1850 Progress: 1270 on 1850 Progress: 1271 on 1850 Progress: 1272 on 1850 Progress: 1273 on 1850 Progress: 1274 on 1850 Progress: 1275 on 1850 Progress: 1276 on 1850 Progress: 1277 on 1850 Progress: 1278 on 1850 Progress: 1279 on 1850 Progress: 1280 on 1850 Progress: 1281 on 1850 Progress: 1282 on 1850 Progress: 1283 on 1850 Progress: 1284 on 1850 Progress: 1285 on 1850 Progress: 1286 on 1850 Progress: 1287 on 1850 Progress: 1288 on 1850 Progress: 1289 on 1850 Progress: 1290 on 1850 Progress: 1291 on 1850 Progress: 1292 on 1850 Progress: 1293 on 1850 Progress: 1294 on 1850 Progress: 1295 on 1850 Progress: 1296 on 1850 Progress: 1297 on 1850 Progress: 1298 on 1850 Progress: 1299 on 1850 Progress: 1300 on 1850 Progress: 1301 on 1850 Progress: 1302 on 1850 Progress: 1303 on 1850 Progress: 1304 on 1850 Progress: 1305 on 1850 Progress: 1306 on 1850 Progress: 1307 on 1850 Progress: 1308 on 1850 Progress: 1309 on 1850 Progress: 1310 on 1850 Progress: 1311 on 1850 Progress: 1312 on 1850 Progress: 1313 on 1850 Progress: 1314 on 1850 Progress: 1315 on 1850 Progress: 1316 on 1850 Progress: 1317 on 1850 Progress: 1318 on 1850 Progress: 1319 on 1850 Progress: 1320 on 1850 Progress: 1321 on 1850 Progress: 1322 on 1850 Progress: 1323 on 1850 Progress: 1324 on 1850 Progress: 1325 on 1850 Progress: 1326 on 1850 Progress: 1327 on 1850 Progress: 1328 on 1850 Progress: 1329 on 1850 Progress: 1330 on 1850 Progress: 1331 on 1850 Progress: 1332 on 1850 Progress: 1333 on 1850 Progress: 1334 on 1850 Progress: 1335 on 1850 Progress: 1336 on 1850 Progress: 1337 on 1850 Progress: 1338 on 1850 Progress: 1339 on 1850 Progress: 1340 on 1850 Progress: 1341 on 1850 Progress: 1342 on 1850 Progress: 1343 on 1850 Progress: 1344 on 1850 Progress: 1345 on 1850 Progress: 1346 on 1850 Progress: 1347 on 1850 Progress: 1348 on 1850 Progress: 1349 on 1850 Progress: 1350 on 1850 Progress: 1351 on 1850 Progress: 1352 on 1850 Progress: 1353 on 1850 Progress: 1354 on 1850 Progress: 1355 on 1850 Progress: 1356 on 1850 Progress: 1357 on 1850 Progress: 1358 on 1850 Progress: 1359 on 1850 Progress: 1360 on 1850 Progress: 1361 on 1850 Progress: 1362 on 1850 Progress: 1363 on 1850 Progress: 1364 on 1850 Progress: 1365 on 1850 Progress: 1366 on 1850 Progress: 1367 on 1850 Progress: 1368 on 1850 Progress: 1369 on 1850 Progress: 1370 on 1850 Progress: 1371 on 1850 Progress: 1372 on 1850 Progress: 1373 on 1850 Progress: 1374 on 1850 Progress: 1375 on 1850 Progress: 1376 on 1850 Progress: 1377 on 1850 Progress: 1378 on 1850 Progress: 1379 on 1850 Progress: 1380 on 1850 Progress: 1381 on 1850 Progress: 1382 on 1850 Progress: 1383 on 1850 Progress: 1384 on 1850 Progress: 1385 on 1850 Progress: 1386 on 1850 Progress: 1387 on 1850 Progress: 1388 on 1850 Progress: 1389 on 1850 Progress: 1390 on 1850 Progress: 1391 on 1850 Progress: 1392 on 1850 Progress: 1393 on 1850 Progress: 1394 on 1850 Progress: 1395 on 1850 Progress: 1396 on 1850 Progress: 1397 on 1850 Progress: 1398 on 1850 Progress: 1399 on 1850 Progress: 1400 on 1850 Progress: 1401 on 1850 Progress: 1402 on 1850 Progress: 1403 on 1850 Progress: 1404 on 1850 Progress: 1405 on 1850 Progress: 1406 on 1850 Progress: 1407 on 1850 Progress: 1408 on 1850 Progress: 1409 on 1850 Progress: 1410 on 1850 Progress: 1411 on 1850 Progress: 1412 on 1850 Progress: 1413 on 1850 Progress: 1414 on 1850 Progress: 1415 on 1850 Progress: 1416 on 1850 Progress: 1417 on 1850 Progress: 1418 on 1850 Progress: 1419 on 1850 Progress: 1420 on 1850 Progress: 1421 on 1850 Progress: 1422 on 1850 Progress: 1423 on 1850 Progress: 1424 on 1850 Progress: 1425 on 1850 Progress: 1426 on 1850 Progress: 1427 on 1850 Progress: 1428 on 1850 Progress: 1429 on 1850 Progress: 1430 on 1850 Progress: 1431 on 1850 Progress: 1432 on 1850 Progress: 1433 on 1850 Progress: 1434 on 1850 Progress: 1435 on 1850 Progress: 1436 on 1850 Progress: 1437 on 1850 Progress: 1438 on 1850 Progress: 1439 on 1850 Progress: 1440 on 1850 Progress: 1441 on 1850 Progress: 1442 on 1850 Progress: 1443 on 1850 Progress: 1444 on 1850 Progress: 1445 on 1850 Progress: 1446 on 1850 Progress: 1447 on 1850 Progress: 1448 on 1850 Progress: 1449 on 1850 Progress: 1450 on 1850 Progress: 1451 on 1850 Progress: 1452 on 1850 Progress: 1453 on 1850 Progress: 1454 on 1850 Progress: 1455 on 1850 Progress: 1456 on 1850 Progress: 1457 on 1850 Progress: 1458 on 1850 Progress: 1459 on 1850 Progress: 1460 on 1850 Progress: 1461 on 1850 Progress: 1462 on 1850 Progress: 1463 on 1850 Progress: 1464 on 1850 Progress: 1465 on 1850 Progress: 1466 on 1850 Progress: 1467 on 1850 Progress: 1468 on 1850 Progress: 1469 on 1850 Progress: 1470 on 1850 Progress: 1471 on 1850 Progress: 1472 on 1850 Progress: 1473 on 1850 Progress: 1474 on 1850 Progress: 1475 on 1850 Progress: 1476 on 1850 Progress: 1477 on 1850 Progress: 1478 on 1850 Progress: 1479 on 1850 Progress: 1480 on 1850 Progress: 1481 on 1850 Progress: 1482 on 1850 Progress: 1483 on 1850 Progress: 1484 on 1850 Progress: 1485 on 1850 Progress: 1486 on 1850 Progress: 1487 on 1850 Progress: 1488 on 1850 Progress: 1489 on 1850 Progress: 1490 on 1850 Progress: 1491 on 1850 Progress: 1492 on 1850 Progress: 1493 on 1850 Progress: 1494 on 1850 Progress: 1495 on 1850 Progress: 1496 on 1850 Progress: 1497 on 1850 Progress: 1498 on 1850 Progress: 1499 on 1850 Progress: 1500 on 1850 Progress: 1501 on 1850 Progress: 1502 on 1850 Progress: 1503 on 1850 Progress: 1504 on 1850 Progress: 1505 on 1850 Progress: 1506 on 1850 Progress: 1507 on 1850 Progress: 1508 on 1850 Progress: 1509 on 1850 Progress: 1510 on 1850 Progress: 1511 on 1850 Progress: 1512 on 1850 Progress: 1513 on 1850 Progress: 1514 on 1850 Progress: 1515 on 1850 Progress: 1516 on 1850 Progress: 1517 on 1850 Progress: 1518 on 1850 Progress: 1519 on 1850 Progress: 1520 on 1850 Progress: 1521 on 1850 Progress: 1522 on 1850 Progress: 1523 on 1850 Progress: 1524 on 1850 Progress: 1525 on 1850 Progress: 1526 on 1850 Progress: 1527 on 1850 Progress: 1528 on 1850 Progress: 1529 on 1850 Progress: 1530 on 1850 Progress: 1531 on 1850 Progress: 1532 on 1850 Progress: 1533 on 1850 Progress: 1534 on 1850 Progress: 1535 on 1850 Progress: 1536 on 1850 Progress: 1537 on 1850 Progress: 1538 on 1850 Progress: 1539 on 1850 Progress: 1540 on 1850 Progress: 1541 on 1850 Progress: 1542 on 1850 Progress: 1543 on 1850 Progress: 1544 on 1850 Progress: 1545 on 1850 Progress: 1546 on 1850 Progress: 1547 on 1850 Progress: 1548 on 1850 Progress: 1549 on 1850 Progress: 1550 on 1850 Progress: 1551 on 1850 Progress: 1552 on 1850 Progress: 1553 on 1850 Progress: 1554 on 1850 Progress: 1555 on 1850 Progress: 1556 on 1850 Progress: 1557 on 1850 Progress: 1558 on 1850 Progress: 1559 on 1850 Progress: 1560 on 1850 Progress: 1561 on 1850 Progress: 1562 on 1850 Progress: 1563 on 1850 Progress: 1564 on 1850 Progress: 1565 on 1850 Progress: 1566 on 1850 Progress: 1567 on 1850 Progress: 1568 on 1850 Progress: 1569 on 1850 Progress: 1570 on 1850 Progress: 1571 on 1850 Progress: 1572 on 1850 Progress: 1573 on 1850 Progress: 1574 on 1850 Progress: 1575 on 1850 Progress: 1576 on 1850 Progress: 1577 on 1850 Progress: 1578 on 1850 Progress: 1579 on 1850 Progress: 1580 on 1850 Progress: 1581 on 1850 Progress: 1582 on 1850 Progress: 1583 on 1850 Progress: 1584 on 1850 Progress: 1585 on 1850 Progress: 1586 on 1850 Progress: 1587 on 1850 Progress: 1588 on 1850 Progress: 1589 on 1850 Progress: 1590 on 1850 Progress: 1591 on 1850 Progress: 1592 on 1850 Progress: 1593 on 1850 Progress: 1594 on 1850 Progress: 1595 on 1850 Progress: 1596 on 1850 Progress: 1597 on 1850 Progress: 1598 on 1850 Progress: 1599 on 1850 Progress: 1600 on 1850 Progress: 1601 on 1850 Progress: 1602 on 1850 Progress: 1603 on 1850 Progress: 1604 on 1850 Progress: 1605 on 1850 Progress: 1606 on 1850 Progress: 1607 on 1850 Progress: 1608 on 1850 Progress: 1609 on 1850 Progress: 1610 on 1850 Progress: 1611 on 1850 Progress: 1612 on 1850 Progress: 1613 on 1850 Progress: 1614 on 1850 Progress: 1615 on 1850 Progress: 1616 on 1850 Progress: 1617 on 1850 Progress: 1618 on 1850 Progress: 1619 on 1850 Progress: 1620 on 1850 Progress: 1621 on 1850 Progress: 1622 on 1850 Progress: 1623 on 1850 Progress: 1624 on 1850 Progress: 1625 on 1850 Progress: 1626 on 1850 Progress: 1627 on 1850 Progress: 1628 on 1850 Progress: 1629 on 1850 Progress: 1630 on 1850 Progress: 1631 on 1850 Progress: 1632 on 1850 Progress: 1633 on 1850 Progress: 1634 on 1850 Progress: 1635 on 1850 Progress: 1636 on 1850 Progress: 1637 on 1850 Progress: 1638 on 1850 Progress: 1639 on 1850 Progress: 1640 on 1850 Progress: 1641 on 1850 Progress: 1642 on 1850 Progress: 1643 on 1850 Progress: 1644 on 1850 Progress: 1645 on 1850 Progress: 1646 on 1850 Progress: 1647 on 1850 Progress: 1648 on 1850 Progress: 1649 on 1850 Progress: 1650 on 1850 Progress: 1651 on 1850 Progress: 1652 on 1850 Progress: 1653 on 1850 Progress: 1654 on 1850 Progress: 1655 on 1850 Progress: 1656 on 1850 Progress: 1657 on 1850 Progress: 1658 on 1850 Progress: 1659 on 1850 Progress: 1660 on 1850 Progress: 1661 on 1850 Progress: 1662 on 1850 Progress: 1663 on 1850 Progress: 1664 on 1850 Progress: 1665 on 1850 Progress: 1666 on 1850 Progress: 1667 on 1850 Progress: 1668 on 1850 Progress: 1669 on 1850 Progress: 1670 on 1850 Progress: 1671 on 1850 Progress: 1672 on 1850 Progress: 1673 on 1850 Progress: 1674 on 1850 Progress: 1675 on 1850 Progress: 1676 on 1850 Progress: 1677 on 1850 Progress: 1678 on 1850 Progress: 1679 on 1850 Progress: 1680 on 1850 Progress: 1681 on 1850 Progress: 1682 on 1850 Progress: 1683 on 1850 Progress: 1684 on 1850 Progress: 1685 on 1850 Progress: 1686 on 1850 Progress: 1687 on 1850 Progress: 1688 on 1850 Progress: 1689 on 1850 Progress: 1690 on 1850 Progress: 1691 on 1850 Progress: 1692 on 1850 Progress: 1693 on 1850 Progress: 1694 on 1850 Progress: 1695 on 1850 Progress: 1696 on 1850 Progress: 1697 on 1850 Progress: 1698 on 1850 Progress: 1699 on 1850 Progress: 1700 on 1850 Progress: 1701 on 1850 Progress: 1702 on 1850 Progress: 1703 on 1850 Progress: 1704 on 1850 Progress: 1705 on 1850 Progress: 1706 on 1850 Progress: 1707 on 1850 Progress: 1708 on 1850 Progress: 1709 on 1850 Progress: 1710 on 1850 Progress: 1711 on 1850 Progress: 1712 on 1850 Progress: 1713 on 1850 Progress: 1714 on 1850 Progress: 1715 on 1850 Progress: 1716 on 1850 Progress: 1717 on 1850 Progress: 1718 on 1850 Progress: 1719 on 1850 Progress: 1720 on 1850 Progress: 1721 on 1850 Progress: 1722 on 1850 Progress: 1723 on 1850 Progress: 1724 on 1850 Progress: 1725 on 1850 Progress: 1726 on 1850 Progress: 1727 on 1850 Progress: 1728 on 1850 Progress: 1729 on 1850 Progress: 1730 on 1850 Progress: 1731 on 1850 Progress: 1732 on 1850 Progress: 1733 on 1850 Progress: 1734 on 1850 Progress: 1735 on 1850 Progress: 1736 on 1850 Progress: 1737 on 1850 Progress: 1738 on 1850 Progress: 1739 on 1850 Progress: 1740 on 1850 Progress: 1741 on 1850 Progress: 1742 on 1850 Progress: 1743 on 1850 Progress: 1744 on 1850 Progress: 1745 on 1850 Progress: 1746 on 1850 Progress: 1747 on 1850 Progress: 1748 on 1850 Progress: 1749 on 1850 Progress: 1750 on 1850 Progress: 1751 on 1850 Progress: 1752 on 1850 Progress: 1753 on 1850 Progress: 1754 on 1850 Progress: 1755 on 1850 Progress: 1756 on 1850 Progress: 1757 on 1850 Progress: 1758 on 1850 Progress: 1759 on 1850 Progress: 1760 on 1850 Progress: 1761 on 1850 Progress: 1762 on 1850 Progress: 1763 on 1850 Progress: 1764 on 1850 Progress: 1765 on 1850 Progress: 1766 on 1850 Progress: 1767 on 1850 Progress: 1768 on 1850 Progress: 1769 on 1850 Progress: 1770 on 1850 Progress: 1771 on 1850 Progress: 1772 on 1850 Progress: 1773 on 1850 Progress: 1774 on 1850 Progress: 1775 on 1850 Progress: 1776 on 1850 Progress: 1777 on 1850 Progress: 1778 on 1850 Progress: 1779 on 1850 Progress: 1780 on 1850 Progress: 1781 on 1850 Progress: 1782 on 1850 Progress: 1783 on 1850 Progress: 1784 on 1850 Progress: 1785 on 1850 Progress: 1786 on 1850 Progress: 1787 on 1850 Progress: 1788 on 1850 Progress: 1789 on 1850 Progress: 1790 on 1850 Progress: 1791 on 1850 Progress: 1792 on 1850 Progress: 1793 on 1850 Progress: 1794 on 1850 Progress: 1795 on 1850 Progress: 1796 on 1850 Progress: 1797 on 1850 Progress: 1798 on 1850 Progress: 1799 on 1850 Progress: 1800 on 1850 Progress: 1801 on 1850 Progress: 1802 on 1850 Progress: 1803 on 1850 Progress: 1804 on 1850 Progress: 1805 on 1850 Progress: 1806 on 1850 Progress: 1807 on 1850 Progress: 1808 on 1850 Progress: 1809 on 1850 Progress: 1810 on 1850 Progress: 1811 on 1850 Progress: 1812 on 1850 Progress: 1813 on 1850 Progress: 1814 on 1850 Progress: 1815 on 1850 Progress: 1816 on 1850 Progress: 1817 on 1850 Progress: 1818 on 1850 Progress: 1819 on 1850 Progress: 1820 on 1850 Progress: 1821 on 1850 Progress: 1822 on 1850 Progress: 1823 on 1850 Progress: 1824 on 1850 Progress: 1825 on 1850 Progress: 1826 on 1850 Progress: 1827 on 1850 Progress: 1828 on 1850 Progress: 1829 on 1850 Progress: 1830 on 1850 Progress: 1831 on 1850 Progress: 1832 on 1850 Progress: 1833 on 1850 Progress: 1834 on 1850 Progress: 1835 on 1850 Progress: 1836 on 1850 Progress: 1837 on 1850 Progress: 1838 on 1850 Progress: 1839 on 1850 Progress: 1840 on 1850 Progress: 1841 on 1850 Progress: 1842 on 1850 Progress: 1843 on 1850 Progress: 1844 on 1850 Progress: 1845 on 1850 Progress: 1846 on 1850 Progress: 1847 on 1850 Progress: 1848 on 1850 Progress: 1849 on 1850 Progress: 1850 on 1850 count <- as.data.frame(table(test$id))
do_przedmiotowej3 <- merge(test,count, by.x = "id",by.y = "Var1") %>%
mutate(dlugosc = nchar(co)) %>%
arrange(-Freq,id,-dlugosc,-ile)
do_przedmiotowej3$id_grupy <- cumsum(!duplicated(do_przedmiotowej3[1]))
do_przedmiotowej3 <- do_przedmiotowej3[!duplicated(do_przedmiotowej3$id_grupy),] %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA) %>%
select(names(do_przedmiotowej1))
do_przedmiotowej <- rbind(do_przedmiotowej1,do_przedmiotowej2,do_przedmiotowej3)
#przypisanie przedmiotowej na podstawie słownika pojęć
do_przedmiotowej <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
left_join(.,do_przedmiotowej,by="id") %>%
#przypisanie na podstawie zdefiniowanych słów (dopisanie do gotowego pliku)
mutate(redaktor_dzialu = ifelse(is.na(redaktor_dzialu),
ifelse(grepl("teatr",X655,ignore.case = TRUE)|grepl("teatr",X650,ignore.case = TRUE),"MARTAK",
ifelse(grepl("film",X655,ignore.case = TRUE)|grepl("film",X650,ignore.case = TRUE),"OLA",
ifelse(grepl("telewizj",X655,ignore.case = TRUE)|grepl("telewizj",X650,ignore.case = TRUE),"EWA",
ifelse(grepl("radio",X655,ignore.case = TRUE)|grepl("radio",X650,ignore.case = TRUE),"EWA",
ifelse(grepl("czasopism",X655,ignore.case = TRUE)|grepl("czasopism",X650,ignore.case = TRUE),"TOMASZ",
ifelse(grepl("wydawnictw",X655,ignore.case = TRUE)|grepl("wydawnictw",X650,ignore.case = TRUE),"BARBARAW",
ifelse(grepl("od 1989",X655,ignore.case = TRUE)|grepl("od 1989",X650,ignore.case = TRUE),"PAULINA",
ifelse(grepl("ćwicze|zadan|szkoł|szkół|scenariusz|zajęć|pomocnicz",X655,ignore.case = TRUE)|grepl("ćwicze|zadan|szkoł|szkół|scenariusz|zajęć|pomocnicz",X650,ignore.case = TRUE),"KAROLINA",
ifelse(grepl("sceniczn",X655,ignore.case = TRUE)|grepl("sceniczn",X650,ignore.case = TRUE),"MARTAK",
ifelse(grepl("teoria|socjologia|antropologia|metafizyk|interpretac|filozof",X655,ignore.case = TRUE)|grepl("teoria|socjologia|antropologia|metafizyk|interpretac|filozof",X650,ignore.case = TRUE),"PAULINA",
ifelse(grepl("ludow|zwycz|obycz|folkl",X655,ignore.case = TRUE)|grepl("ludow|zwycz|obycz|folkl",X650,ignore.case = TRUE),"ANIA",
ifelse(grepl("katolic|biblia|biblij|kościół",X655,ignore.case = TRUE)|grepl("katolic|biblia|biblij|kościół",X650,ignore.case = TRUE),"BEATAS",
ifelse(grepl("druk|rękopi|inkunab|inwent|bibliogr|słownik|bibliotek",X655,ignore.case = TRUE)|grepl("druk|rękopi|inkunab|inwent|bibliogr|słownik|bibliotek",X650,ignore.case = TRUE),"IZA",
ifelse(grepl("zabawk|dziec",X655,ignore.case = TRUE)|grepl("zabawk|dziec",X650,ignore.case = TRUE),"BARBARAW",
ifelse(grepl("tematyka|20-21 w.|21 w.",X655,ignore.case = TRUE)|grepl("tematyka|20-21 w.|21 w.",X650,ignore.case = TRUE),"PAULINA",
ifelse(grepl("19|18|17|16|15|14|13",X655,ignore.case = TRUE)|grepl("19|18|17|16|15|14|13",X650,ignore.case = TRUE),"GOSIA",
ifelse(grepl("polityk",X655,X655,ignore.case = TRUE)|grepl("polityk",X650,X655,ignore.case = TRUE),"PAULINA",
ifelse(grepl("historia",X655,X655,ignore.case = TRUE)|grepl("historia",X650,X655,ignore.case = TRUE),"GOSIA",NA)))))))))))))))))),as.character(redaktor_dzialu))) %>%
select(names(do_przedmiotowej1)) %>%
filter(!is.na(redaktor_dzialu))
#wydobycie zbioru, który ciągle nie ma przypisanych redaktorów do przedmiotowej
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(id %notin% do_przedmiotowej$id)
#dla książek, które mają kilku autorów w osoba_bn_temat - przypisanie do redaktora powszechnej - BEATAD?
do_przedmiotowej4 <- przedmiotowa_redaktorzy %>%
filter(!is.na(osoba_bn_temat)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
redaktor_dzialu = "BEATAD") %>%
select(names(do_przedmiotowej1))
#dla książek, które nie mają wypełnionego osoba_bn_autor - przypisanie do Nikodema? czy losowo do kogoś?
do_przedmiotowej5 <- przedmiotowa_redaktorzy %>%
filter(is.na(osoba_bn_autor)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
redaktor_dzialu = "NIKODEM") %>%
select(names(do_przedmiotowej1))
#połaczenie wszystkich przedmiotowych z przypisanymi redaktorami w jeden plik
do_przedmiotowej <- rbind(do_przedmiotowej,do_przedmiotowej4,do_przedmiotowej5)
#dla książek, które mają wypełnione osoba_bn_autor - zmiana na podmiotową do ręcznego przejrzenia i przypisanie redaktorów
###przypisanie do podmiotowej!!!!!!!!!!!!!!!!!!!###############
do_podmiotowej1 <- przedmiotowa_redaktorzy %>%
filter(!is.na(osoba_bn_autor))
#trzeba zaktualizować w bn_ok, że teraz to są podmiotowe
#lista rekordów do przepisania z przedmiotowej na podmiotową
lista_do_przepisania <- do_podmiotowej1$id
bn_ok$rodzaj_ksiazki[bn_ok$id %in% lista_do_przepisania] <- "podmiotowa"
#przetworzenie całej podmiotowej (bo plik do_podmiotowej1 już jest w środku)
#przypisanie podmiotowej anonimowej
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa"&X100=="")
#655
marc_field_655 <- podmiotowa_redaktorzy %>%
select(id,X655)%>%
filter(X655!="") %>%
mutate(X655=str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655=str_remove_all(X655,"^\\|")) %>%
mutate(indicator = str_replace_all(X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 marc_field_655 <- marc_field_655 %>%
select(id,`$a`) %>%
unique()
trim <- function (x) gsub("^\\s+|\\s+$", "", x)
PBL_literatury_anonimowe <- PBL_dzialy_path %>%
filter(grepl("Utwory anonim",DZ_NAZWA)) %>%
select(DZ_DZIAL_ID,DZ_NAZWA,NAD_NAD_DZ_DZIAL_ID) %>%
left_join(.,redaktorzy_dzialow,by = c("NAD_NAD_DZ_DZIAL_ID"="DZ_DZIAL_ID")) %>%
select(1,DZ_NAZWA = 2,5) %>%
filter(DZ_DZIAL_ID %notin% c(1922,1983)) %>%
group_by(DZ_DZIAL_ID) %>%
mutate(nazwa = paste(trim(unlist(str_extract_all(DZ_NAZWA,"(?<=\\()(.*?)(?=\\(|\\))"))),collapse = "|"),
nazwa = str_remove_all(nazwa,"(.)(?=\\||$)"),
nazwa = str_remove(nazwa,"literatur. "),
nazwa = ifelse(nazwa=="","polsk",as.character(nazwa)),
redaktor_dzialu = ifelse(is.na(redaktor_dzialu),"ANIA",as.character(redaktor_dzialu))) %>%
ungroup()
reczne <- data.frame(DZ_DZIAL_ID = c(899,694,694,1174,145,1220),DZ_NAZWA = c("Utwory anonimowe (Indii)","Utwory anonimowe (brytyjska i irlandzka)","Utwory anonimowe (brytyjska i irlandzka)","Utwory anonimowe (starosłowiańska)","Utwory anonimowe i ulotne","Utwory anonimowe (turecka)"), redaktor_dzialu = c("EWA","BEATAK","BEATAK","BEATAD","ANIA","EWA"), nazwa = c("indyjsk","walijsk","angielsk","starorusk","kaszubsk","nogajsk"))
PBL_literatury_anonimowe <- rbind(PBL_literatury_anonimowe,reczne)
marc_field_655 <- sqldf("select *
from marc_field_655 a
left join PBL_literatury_anonimowe b on a.`$a` like ('%'||b.nazwa||'%')") %>%
arrange(id,DZ_DZIAL_ID)
marc_field_655$same <- cumsum(!duplicated(marc_field_655[1]))
marc_field_655 <- marc_field_655[!duplicated(marc_field_655$same),] %>%
select(id,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA) %>%
select(names(marc_field_600))
###przypisanie do redaktorów literatury anonimowej na podstawie literatury z pola 650
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa"&X100=="") %>%
filter(id %notin% marc_field_655$id)
#650
marc_field_650 <- podmiotowa_redaktorzy %>%
select(id,X650)%>%
filter(X650!="") %>%
mutate(X650=str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650=str_remove_all(X650,"^\\|")) %>%
mutate(indicator = str_replace_all(X650,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X650,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_650)[1]))
colnames(empty_table) <-subfield_list
marc_field_650<-cbind(marc_field_650,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_650$X650 <- str_replace(marc_field_650$X650,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_650[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_650$X650),str_replace_all(gsub(string,"\\3",marc_field_650$X650),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 marc_field_650 <- marc_field_650 %>%
select(id,`$a`) %>%
unique()
marc_field_650 <- sqldf("select *
from marc_field_650 a
left join PBL_literatury_anonimowe b on a.`$a` like ('%'||b.nazwa||'%')") %>%
arrange(id,DZ_DZIAL_ID)
marc_field_650$same <- cumsum(!duplicated(marc_field_650[1]))
marc_field_650 <- marc_field_650[!duplicated(marc_field_650$same),] %>%
select(id,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA) %>%
select(names(marc_field_600))
do_podmiotowej1 <- rbind(marc_field_655,marc_field_650)
#co zrobić z pozostałymi podmiotowymi anonimowymi, których nie udało się przypisać?
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa"&X100=="") %>%
filter(id %notin% do_podmiotowej1$id) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
redaktor_dzialu = "KAROLINA") %>%
select(names(do_przedmiotowej1))
do_podmiotowej1 <- rbind(do_podmiotowej1,podmiotowa_redaktorzy)
###przypisanie redaktora na podstawie osoby z 100 jako twórcy (autora) - książki twórcy
#100
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(id %notin% do_podmiotowej1$id)
marc_field_100 <- podmiotowa_redaktorzy %>%
select(id,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 marc_field_100 <- marc_field_100 %>%
select(id,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(id,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1")) %>%
group_by(id) %>%
mutate(name = paste(name,collapse = "|")) %>%
ungroup() %>%
unique()
do_podmiotowej2 <- marc_field_100 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
left_join(.,PBL_tworcy,by = c("pbl_id"="TW_TWORCA_ID")) %>%
left_join(.,redaktorzy_dzialow,by = c("TW_DZ_DZIAL_ID"="DZ_DZIAL_ID")) %>%
select(id,TW_TWORCA_ID=pbl_id,TW_NAZWISKO,TW_IMIE,TW_DZ_DZIAL_ID,DZ_NAZWA=DZ_NAZWA.x,redaktor_dzialu) %>%
unique()Column `name`/`BN_name` joining character vector and factor, coercing into character vector###przypisanie autorów podmiotowej do literatur i przypisanie do redaktorów na podstawie literatury z pola 655
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(id %notin% do_podmiotowej1$id) %>%
filter(id %notin% do_podmiotowej2$id)###czy to dobre miejsce?
#czy nie powinno być przetwarzane razem z innymi elementami książek, pkt. 12?
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa"&X100!=""&!grepl("\\|",X100))
#100
marc_field_100 <- podmiotowa_redaktorzy %>%
select(id,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
marc_field_100 <- marc_field_100 %>%
select(id,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(id,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
marc_field_100 <- marc_field_100 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
left_join(.,PBL_tworcy,by = c("pbl_id"="TW_TWORCA_ID")) %>%
left_join(.,redaktorzy_dzialow,by = c("TW_DZ_DZIAL_ID"="DZ_DZIAL_ID")) %>%
select(id,TW_TWORCA_ID=pbl_id,TW_NAZWISKO,TW_IMIE,TW_DZ_DZIAL_ID,DZ_NAZWA=DZ_NAZWA.x,redaktor_dzialu)
podmiotowa_redaktorzy <- podmiotowa_redaktorzy %>%
left_join(.,marc_field_100,by="id")
test <- podmiotowa_redaktorzy %>%
filter(is.na(TW_TWORCA_ID))
marc_field_100 <- test %>%
select(id,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(test$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
marc_field_100 <- marc_field_100 %>%
select(id,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(id,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
test <- marc_field_100 %>%
select(name) %>%
unique()
###TUTAJ###
bn_records_pbl_people_id <- bn_records_pbl_people %>%
select(id,osoba_pbl_dzial_id_name) %>%
group_by(id) %>%
mutate(osoba_pbl_dzial_id_name = paste(unique(osoba_pbl_dzial_id_name),collapse = "~")) %>%
ungroup() %>%
unique()
bn_ks <- bn_ks %>%
full_join(.,bn_records_pbl_people_id,by = "id")
poprzednie_importy <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008) %>%
select(ZA_ZAPIS_ID,X650,X655) %>%
left_join(.,dbGetQuery(PBL,"select za_zapis_id, dz.dz_dz_dzial_id, dz.dz_nazwa, rz.rz_rodzaj_id, rz.rz_nazwa, trim(substr(substr(z.za_uwagi,20,length(z.za_uwagi)),INSTR(substr(z.za_uwagi,20,length(z.za_uwagi)),':')+1,INSTR(substr(z.za_uwagi,20,length(z.za_uwagi)),'_')-(INSTR(substr(z.za_uwagi,20,length(z.za_uwagi)),':')+1))) \"pracownik\", z.za_status_imp
from IBL_OWNER.pbl_zapisy z
join IBL_OWNER.pbl_dzialy dz on dz.dz_dzial_id=z.za_dz_dzial1_id
join IBL_OWNER.pbl_rodzaje_zapisow rz on rz.rz_rodzaj_id=z.za_rz_rodzaj1_id
where z.za_uwagi like '%import%'"), by = "ZA_ZAPIS_ID") %>%
mutate(pracownik = str_remove(pracownik,"x$")) %>%
mutate(X650 = str_replace_all(X650,"(?<!7)(\\$a)","\\\\7\\1"),
X655 = str_replace_all(X655,"(?<!7)(\\$a)","\\\\7\\1"),
X650 = ifelse(is.na(X650),NA,
ifelse(!str_detect(X650,"\\$2DBN"),str_replace_all(X650,"(\\||$)","$2DBN\\1"),as.character(X650))),
X655 = ifelse(is.na(X655),NA,
ifelse(!str_detect(X655,"\\$2DBN"),str_replace_all(X655,"(\\||$)","$2DBN\\1"),as.character(X655)))) %>%
filter(ZA_STATUS_IMP=="IOK")
count <- as.data.frame(table(poprzednie_importy$pracownik))
podmiotowe <- read.csv2("C:/Users/Cezary/Desktop/podmiotowe.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
#podmiotowe <- read.csv2("C:/Users/cezar/Documents/PBL/Import danych z zewn?trz/Biblioteka Narodowa/2005_2008/podmiotowe.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
przedmiotowe <- read.csv2("C:/Users/Cezary/Desktop/przedmiotowe.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
antologie <- read.csv2("C:/Users/Cezary/Desktop/antologie.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
reszta <- read.csv2("C:/Users/Cezary/Desktop/reszta.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
test <- data %>%
select(licznik, X100, X245, X700, X260, id, X041, X080, X246, X250, X300, X490, X500, X501, X500, X546, X600, X650, X655, rok)
#zapisanie mniejszego pliku
write.csv2(test, "C:/Users/cezar/Documents/PBL/Import danych z zewn?trz/Biblioteka Narodowa/2005_2008/podmiotowe_small.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')#literatura podmiotowa z UKD literackim
data <- podmiotowe %>%
filter(X655!="\\7$aKomiks$2DBN") #usuwam komiks
dziwne_antologie <- data %>%
filter(X100=="")
data = subset(data, !(data$id %in% dziwne_antologie$id))
#problem z ksi??kami zabawkami i rysownikami jako tw?rcami - mo?e warto da? jak?? uwag? do adnotacji?
antologia_3_4 <- mutate(data,
ile = str_count(data$X245, " / ")+1)
antologia_3_4 <- antologia_3_4 %>%
filter(ile >2) %>%
select(-length(antologia_3_4))
wspolwydanie <- mutate(data,
ile = str_count(data$X245, " / ")+1)
wspolwydanie <- wspolwydanie %>%
filter(ile == 2) %>%
select(-length(wspolwydanie))
data = subset(data, !(data$id %in% antologia_3_4$id))
data = subset(data, !(data$id %in% wspolwydanie$id))
data <- data.frame(data, licznik = 1:length(data$id))
#uwolnienie kolumn z danymi z bn i przetworzenie do PBL
#1
za_uwagi <- data %>%
select(za_uwagi = id, licznik)
za_uwagi$za_uwagi <- str_replace_all(za_uwagi$za_uwagi," ","0")
za_uwagi$za_uwagi <- ifelse(nchar(za_uwagi$za_uwagi)==13,za_uwagi$za_uwagi, sprintf("%013d", as.integer(za_uwagi$za_uwagi)))
#2
rz_nazwa <- data.frame(rz_nazwa = rep("ksi??ka tw?rcy (podmiotowa)", length(1:length(za_uwagi$za_uwagi))))
rz_nazwa <- data.frame(rz_nazwa = rz_nazwa$rz_nazwa, licznik = 1:lengths(rz_nazwa))
#3
za_ro_rok <- data %>%
select(za_ro_rok = rok, licznik)
#4
za_type <- data.frame(licznik = 1:lengths(data), za_type = "KS")
#5
rz_rodzaj_id <- merge(x = rz_nazwa, y = PBL_rodzaje_zapisow, by.x = 'rz_nazwa', by.y = 'RZ_NAZWA', sort = FALSE,all.x = TRUE)
rz_rodzaj_id <- rz_rodzaj_id[order(rz_rodzaj_id$licznik),]
rz_rodzaj_id <- rz_rodzaj_id %>%
select(RZ_RODZAJ_ID, licznik)
#6
data <- bn_ks
marc_field <- data %>%
select(id,licznik,X245)#%>%
#filter(X245!="")
#marc_field$X245<-str_replace_all(marc_field$X245,"(^|\\|)","~\\1")
#marc_field<- cSplit(marc_field,"X245",sep = "~",direction = "long")
#marc_field<- marc_field%>%
# filter(X245!="")
marc_field$X245<-str_remove_all(marc_field$X245,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X245 <- str_replace(marc_field$X245,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+4] <- ifelse(grepl(subfield_list_char2[i],marc_field$X245),str_replace_all(gsub(string,"\\3",marc_field$X245),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
BN_autor <- data %>%
select(X100, X245, X700, X501, licznik)
BN_autor <- mutate(BN_autor,
X245c = marc_field$`$c`)
autor1 <- BN_autor %>%
filter(X700=="")
autor1 <- mutate(autor1,
drugi_autor = "")
BN_autor <- cSplit(BN_autor,"X700",sep = "|",direction = "long")
BN_autor <- mutate(BN_autor,
czy_funkcja = grepl("\\$e|\\$b",BN_autor$X700),
czy_t = grepl("\\$t",BN_autor$X700))
BN_autor$drugi_autor <- ifelse(BN_autor$czy_funkcja==FALSE&BN_autor$czy_t==FALSE, as.character(BN_autor$X700),"")
BN_autor <- BN_autor %>%
select(-8,-7)
BN_wspoltworca <- BN_autor
BN_autor <- ddply(BN_autor, .(licznik, X100, X245, X245c, X501), summarize, X700 = paste(X700, collapse="|"), drugi_autor = paste(drugi_autor, collapse = "|"))
BN_autor$drugi_autor <- str_remove(BN_autor$drugi_autor,"^\\|+")
BN_autor$drugi_autor <- str_replace_all(BN_autor$drugi_autor,"\\|+","\\|")
BN_autor$drugi_autor[BN_autor$drugi_autor==""] <- NA
BN_autor <- BN_autor[order(BN_autor$licznik,BN_autor$drugi_autor),]
BN_autor <- BN_autor %>%
select(names(autor1))
BN_autor <- rbind(BN_autor,autor1)
BN_autor <- BN_autor[order(BN_autor$licznik),]
BN_autor$drugi_autor[is.na(BN_autor$drugi_autor)] <- ""
BN_autor$drugi_autor[is.na(BN_autor$X245c)] <- ""
BN_autor$X100 <- paste(BN_autor$X100,BN_autor$drugi_autor,sep = "|")
BN_autor$X100 <- str_remove(BN_autor$X100,"^\\|+")
BN_autor$X100 <- str_remove(BN_autor$X100,"\\|+$")
BN_autor2 <- BN_autor %>%
select(-length(.))
#autor1 <- BN_autor %>%
# filter(!grepl("\\|",BN_autor$X100))
BN_autor <- cSplit(BN_autor,"X100",sep = "|",direction = "long")
marc_field <- BN_autor %>%
select(licznik,X100)#%>%
#filter(X245!="")
#marc_field$X245<-str_replace_all(marc_field$X245,"(^|\\|)","~\\1")
#marc_field<- cSplit(marc_field,"X245",sep = "~",direction = "long")
#marc_field<- marc_field%>%
# filter(X245!="")
marc_field$X100<-str_remove_all(marc_field$X100,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_autor$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X100 <- str_replace(marc_field$X100,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X100),str_replace_all(gsub(string,"\\3",marc_field$X100),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
BN_autor <- mutate(BN_autor,
osoba_nazw = ifelse(grepl(",",marc_field$`$a`),str_replace_all(marc_field$`$a`,"(.*?)(, )(.*)","\\1"),as.character(marc_field$`$a`)),
osoba_imie = ifelse(grepl(",",marc_field$`$a`),str_replace_all(marc_field$`$a`,"(.*?)(, )(.*)","\\3"),""))
BN_autor <- mutate(BN_autor,
czy = str_detect(BN_autor$X245c,BN_autor$osoba_nazw)|str_detect(BN_autor$X245c,BN_autor$osoba_imie))
colnames(BN_autor)[6] <- "ZA_ADNOTACJE"
BN_autor$ZA_ADNOTACJE <- ifelse(is.na(BN_autor$ZA_ADNOTACJE),"",as.character(BN_autor$ZA_ADNOTACJE))
BN_autor$ZA_ADNOTACJE <- ifelse(BN_autor$czy==FALSE,paste("Uwaga, b??d w danych osobowych", BN_autor$ZA_ADNOTACJE, sep = ": "),"")
BN_autor <- BN_autor %>%
select(licznik,X100,ZA_ADNOTACJE)
marc_field <- BN_autor %>%
select(licznik,X100)
marc_field$X100<-str_remove_all(marc_field$X100,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_autor$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X100 <- str_replace(marc_field$X100,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X100),str_replace_all(gsub(string,"\\3",marc_field$X100),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
BN_autor <- BN_autor %>%
select(licznik,ZA_ADNOTACJE)
BN_autor <- mutate(BN_autor,
X100 = marc_field$`$a`)
BN_autor$X100 <- str_remove(BN_autor$X100,"(?<=[a-z?????])(\\.$)")
BN_autor_long <- BN_autor
BN_autor <- ddply(BN_autor, .(licznik), summarize, X100 = paste(X100, collapse="|"), ZA_ADNOTACJE = paste(ZA_ADNOTACJE, collapse = ""))
BN_autor <- mutate(BN_autor,
nazwa = str_replace_all(str_to_lower(BN_autor$X100), "\\W", ""))
BN_autor_long <- mutate(BN_autor_long,
nazwa = str_replace_all(str_to_lower(BN_autor_long$X100), "\\W", ""))
BN_PBL_autor <- merge(x = BN_autor_long, y = PBL_autorzy, by = 'nazwa', sort = FALSE, all.x = TRUE)
BN_PBL_autor <- BN_PBL_autor[order(BN_PBL_autor$licznik, -BN_PBL_autor$AM_LICZBA_ZAPISOW),]
BN_PBL_autor %$%
{ licznik == dplyr::lag(licznik, 1) & X100 ==lag(X100,)} %>%
as.numeric() %>%
{.} -> BN_PBL_autor$same
BN_PBL_autor$same[1] <- 0
BN_PBL_autor <- BN_PBL_autor %>%
filter(same==0) %>%
select(-length(BN_PBL_autor))
BN_PBL_autor <- mutate(BN_PBL_autor,
am_nazwisko = ifelse(grepl(",",BN_PBL_autor$X100),str_replace_all(BN_PBL_autor$X100,"(.*?)(, )(.*)","\\1"),as.character(BN_PBL_autor$X100)),
am_imie = ifelse(grepl(",",BN_PBL_autor$X100),str_replace_all(BN_PBL_autor$X100,"(.*?)(, )(.*)","\\3"),""))
BN_PBL_tworca_podm <- merge(x = BN_autor, y = PBL_tworcy_podm, by = 'nazwa', sort = FALSE, all.x = TRUE)
BN_PBL_tworca_podm <- BN_PBL_tworca_podm[order(BN_PBL_tworca_podm$licznik, -BN_PBL_tworca_podm$TW_LICZBA_ZAPISOW),]
BN_PBL_tworca_podm %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> BN_PBL_tworca_podm$same
BN_PBL_tworca_podm$same[1] <- 0
BN_PBL_tworca_podm <- BN_PBL_tworca_podm %>%
filter(same==0) %>%
select(-length(BN_PBL_tworca_podm))
BN_PBL_tworca_podm <- mutate(BN_PBL_tworca_podm,
tw_nazwisko = ifelse(str_detect(BN_PBL_tworca_podm$X100,"\\|"), str_replace_all(str_remove_all(BN_PBL_tworca_podm$X100,","), "\\|", ", "), ifelse(grepl(",",BN_PBL_tworca_podm$X100), str_replace_all(BN_PBL_tworca_podm$X100,"(.*?)(, )(.*)","\\1"),as.character(BN_PBL_tworca_podm$X100))),
tw_imie = ifelse(str_detect(BN_PBL_tworca_podm$X100,"\\|"), "*", ifelse(grepl(",",BN_PBL_tworca_podm$X100),str_replace_all(BN_PBL_tworca_podm$X100,"(.*?)(, )(.*)","\\3"),"*")))
BN_PBL_autor_short <- merge(x = BN_autor, y = PBL_autorzy, by = 'nazwa', sort = FALSE, all.x = TRUE)
BN_PBL_autor_short <- BN_PBL_autor_short[order(BN_PBL_autor_short$licznik, -BN_PBL_autor_short$AM_LICZBA_ZAPISOW),]
BN_PBL_autor_short %$%
{ licznik == dplyr::lag(licznik, 1) & X100 ==lag(X100,)} %>%
as.numeric() %>%
{.} -> BN_PBL_autor_short$same
BN_PBL_autor_short$same[1] <- 0
BN_PBL_autor_short <- BN_PBL_autor_short %>%
filter(same==0) %>%
select(-length(BN_PBL_autor_short))
BN_PBL_autor_short <- mutate(BN_PBL_autor_short,
am_nazwisko = ifelse(str_detect(BN_PBL_autor_short$X100,"\\|"), str_replace_all(str_remove_all(BN_PBL_autor_short$X100,","), "\\|", ", "), str_replace_all(BN_PBL_autor_short$X100,"(.*?)(, )(.*)","\\1")),
am_imie = ifelse(str_detect(BN_PBL_autor_short$X100,"\\|"), "*", str_replace_all(BN_PBL_autor_short$X100,"(.*?)(, )(.*)","\\3")))
am_autor_id <- BN_PBL_autor %>%
select(licznik, AM_AUTOR_ID)
#7
aut_id_nazw <- BN_PBL_autor %>%
select(licznik,AM_AUTOR_ID,am_nazwisko)
am_nazwisko <- aut_id_nazw
am_nazwisko$am_nazwisko[!is.na(am_nazwisko$AM_AUTOR_ID)] <- NA
#8
aut_id_imie <- BN_PBL_autor %>%
select(licznik,AM_AUTOR_ID,am_imie)
am_imie <- aut_id_imie
am_imie$am_imie[!is.na(am_imie$AM_AUTOR_ID)] <- NA
#9
tw_tworca_id <- merge(x = BN_PBL_autor_short, y = PBL_autor_to_tworca, by.x = 'AM_AUTOR_ID', by.y = 'id autora', sort = FALSE, all.x = TRUE)
tw_tworca_id <- merge(x = tw_tworca_id, y = PBL_tworcy, by.x = 'id tworcy', by.y = 'TW_TWORCA_ID', sort = FALSE, all.x = TRUE)
tw_tworca_id <- tw_tworca_id %>%
select(licznik,`id tworcy`,AM_NAZWISKO,AM_IMIE, DZ_NAZWA, TW_DZ_DZIAL_ID)
tw_tworca_id$`id tworcy`[tw_tworca_id$TW_DZ_DZIAL_ID==430] <- NA
tw_tworca_id$AM_NAZWISKO[tw_tworca_id$TW_DZ_DZIAL_ID==430] <- NA
tw_tworca_id$AM_IMIE[tw_tworca_id$TW_DZ_DZIAL_ID==430] <- NA
tw_tworca_id <- tw_tworca_id %>%
select(1,TW_TWORCA_ID = 2,TW_NAZWISKO = 3,TW_IMIE = 4)
tw_tworca_id2 <- BN_PBL_tworca_podm %>%
select(licznik,TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE)
tw_tworca_id <- rbind(tw_tworca_id,tw_tworca_id2)
tw_tworca_id <- tw_tworca_id[order(tw_tworca_id$licznik,tw_tworca_id$TW_TWORCA_ID,tw_tworca_id$TW_NAZWISKO,tw_tworca_id$TW_IMIE),]
tw_tworca_id <- tw_tworca_id %>%
unique()
tw_tworca_id %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> tw_tworca_id$same
tw_tworca_id$same[1] <- 0
tw_tworca_id <- tw_tworca_id %>%
filter(same==0) %>%
select(-length(tw_tworca_id))
#10
tw_id_nazwisko <- BN_PBL_tworca_podm %>%
select(licznik,TW_TWORCA_ID,tw_nazwisko)
tw_nazwisko <- tw_id_nazwisko
tw_nazwisko$tw_nazwisko[!is.na(tw_nazwisko$TW_TWORCA_ID)] <- NA
#11
tw_id_imie <- BN_PBL_tworca_podm %>%
select(licznik,TW_TWORCA_ID,tw_imie)
tw_imie <- tw_id_imie
tw_imie$tw_imie[!is.na(tw_imie$TW_TWORCA_ID)] <- NA
#12
dz_nazwa_full <- BN_PBL_tworca_podm %>%
select(TW_TWORCA_ID,licznik,DZ_NAZWA, TW_DZ_DZIAL_ID, TW_IMIE, TW_NAZWISKO)
dz_nazwa_full <- dz_nazwa_full[order(dz_nazwa_full$licznik),]
#dzia? na podstawie literatury
literatura_BN <- BN_PBL_tworca_podm %>%
select(licznik,TW_TWORCA_ID,tw_nazwisko,tw_imie)
marc_field_655 <- data %>%
select(licznik,X655)%>%
filter(X655!="")
marc_field_655$X655<-str_replace_all(marc_field_655$X655,"(^|\\|)","~\\1")
marc_field_655<- cSplit(marc_field_655,"X655",sep = "~",direction = "long")
marc_field_655<- marc_field_655%>%
filter(X655!="")
marc_field_655$X655<-str_remove_all(marc_field_655$X655,"^\\|")
marc_field_655 <- mutate(marc_field_655,
indicator = str_replace_all(marc_field_655$X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}
literatura_BN <- merge(x = literatura_BN, y = marc_field_655, by.x = "licznik",all.x = TRUE)
literatura_BN <- literatura_BN %>%
select(1,2,3,4,X655 = 7)
marc_field_650 <- data %>%
select(licznik,X650)%>%
filter(X650!="")
marc_field_650$X650<-str_replace_all(marc_field_650$X650,"(^|\\|)","~\\1")
marc_field_650<- cSplit(marc_field_650,"X650",sep = "~",direction = "long")
marc_field_650<- marc_field_650%>%
filter(X650!="")
marc_field_650$X650<-str_remove_all(marc_field_650$X650,"^\\|")
marc_field_650 <- mutate(marc_field_650,
indicator = str_replace_all(marc_field_650$X650,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X650,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_650)[1]))
colnames(empty_table) <-subfield_list
marc_field_650<-cbind(marc_field_650,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field_650$X650 <- str_replace(marc_field_650$X650,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_650[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_650$X650),str_replace_all(gsub(string,"\\3",marc_field_650$X650),"\\${2}.", "~"),NA)
}
literatura_BN <- merge(x = literatura_BN, y = marc_field_650, by.x = "licznik", all.x = TRUE)
literatura_BN <- literatura_BN %>%
select(1,2,3,4,5,X650 = 8)
tw_do_ustalenia <- literatura_BN %>%
filter(is.na(TW_TWORCA_ID))
dz_osob_bez_teatr <- PBL_dz_osob_bez_teatru %>%
select(1,2) %>%
unique()
dz_osob_bez_teatr <- mutate(dz_osob_bez_teatr,
nazwa = substr(str_replace(dz_osob_bez_teatr$DZ_NAZWA, "(.*?\\()(.*?)(\\).*$)","\\2"),1,nchar(str_replace(dz_osob_bez_teatr$DZ_NAZWA, "(.*?\\()(.*?)(\\).*$)","\\2"))-1))
reczne <- data.frame(DZ_DZIAL_ID = c(697,697,697,697,825,1037,1187,1454,884,902,544,544,544,544),DZ_NAZWA = c("Has?a osobowe (brytyjska i irlandzka)","Has?a osobowe (brytyjska i irlandzka)","Has?a osobowe (brytyjska i irlandzka)","Has?a osobowe (brytyjska i irlandzka)","Has?a osobowe (grecka staro?ytna)","Has?a osobowe (?aci?ska staro?ytna)","Has?a osobowe (syryjska)","Has?a osobowe (esperanto)","Has?a osobowe (holenderska)","Has?a osobowe (Indii)","Has?a osobowe (Afryki Subsaharyjskiej)","Has?a osobowe (Afryki Subsaharyjskiej)","Has?a osobowe (Afryki Subsaharyjskiej)","Has?a osobowe (Afryki Subsaharyjskiej)"), redaktor_dzialu = c("BEATAK","BEATAK","BEATAK","BEATAK","BEATAS","BEATAS","BEATAD","CEZARY","TOMASZU","EWA","EWA","EWA","EWA","EWA"), nazwa = c("angielsk","szkock","irlandzk","walijsk","greck","?aci?sk","syryjsk","esperanck","niderlandzk","indyjsk","po?udniowoafryka","senegalsk","nigeryjsk","afryka?sk"))
reczne <- reczne %>%
select(1,2,4)
dz_osob_bez_teatr <- rbind(dz_osob_bez_teatr,reczne)
dz_osob_bez_teatr$nazwa[dz_osob_bez_teatr$nazwa=="literatura polsk"] <- "polsk"
literatura_dz <- sqldf("select *
from tw_do_ustalenia a
left join dz_osob_bez_teatr b on a.X655 like ('%'||b.nazwa||'%')")
literatura_dz2 <- sqldf("select *
from tw_do_ustalenia a
left join dz_osob_bez_teatr b on a.X650 like ('%'||b.nazwa||'%')")
literatura_dz <- data.frame(literatura_dz, pol_osob = ifelse(literatura_dz$nazwa == "polsk" & substr(literatura_dz$tw_nazwisko,1,1)==str_sub(literatura_dz$DZ_NAZWA,nchar(as.character(literatura_dz$DZ_NAZWA)),nchar(as.character(literatura_dz$DZ_NAZWA))),TRUE,FALSE), pol = ifelse(literatura_dz$nazwa == "polsk", TRUE, FALSE))
literatura_dz <- literatura_dz %>%
filter(pol_osob == TRUE | pol == FALSE) %>%
select(-9,-10,-11)
literatura_dz2 <- data.frame(literatura_dz2, pol_osob = ifelse(literatura_dz2$nazwa == "polsk" & substr(literatura_dz2$tw_nazwisko,1,1)==str_sub(literatura_dz2$DZ_NAZWA,nchar(as.character(literatura_dz2$DZ_NAZWA)),nchar(as.character(literatura_dz2$DZ_NAZWA))),TRUE,FALSE), pol = ifelse(literatura_dz2$nazwa == "polsk", TRUE, FALSE))
literatura_dz2 <- literatura_dz2 %>%
filter(pol_osob == TRUE | pol == FALSE) %>%
select(-9,-10,-11)
literatura_dz <- rbind(literatura_dz,literatura_dz2) %>%
select(-X655,-X650) %>%
unique()
literatura_dz <- literatura_dz[order(literatura_dz$licznik,literatura_dz$tw_nazwisko,literatura_dz$tw_imie,literatura_dz$DZ_DZIAL_ID),]
literatura_dz %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> literatura_dz$same
literatura_dz$same[1] <- 0
literatura_dz <- literatura_dz %>%
filter(same==0) %>%
select(-length(literatura_dz))
colnames(BN_PBL_tworca_podm)[6:7] <- c("TW_NAZWISKO_ORACLE", "TW_IMIE_ORACLE")
test <- mutate(BN_PBL_tworca_podm,
polaczone = paste(BN_PBL_tworca_podm$TW_TWORCA_ID,BN_PBL_tworca_podm$licznik,BN_PBL_tworca_podm$tw_nazwisko,BN_PBL_tworca_podm$tw_imie,sep = "|"))
literatura_dz <- mutate(literatura_dz,
polaczone = paste(literatura_dz$TW_TWORCA_ID,literatura_dz$licznik,literatura_dz$tw_nazwisko,literatura_dz$tw_imie,sep = "|"))
test <- sqldf("select *
from test a
left join literatura_dz b on a.polaczone=b.polaczone")
test$TW_DZ_DZIAL_ID <- ifelse(is.na(test$TW_TWORCA_ID), test$DZ_DZIAL_ID,test$TW_DZ_DZIAL_ID)
test$DZ_NAZWA <- ifelse(is.na(test$TW_TWORCA_ID), test$DZ_NAZWA..30, test$DZ_NAZWA)
BN_PBL_tworca_podm_full <- test %>%
filter(!is.na(TW_DZ_DZIAL_ID)) %>%
select(1:23)
test <- test %>%
filter(is.na(TW_DZ_DZIAL_ID)) %>%
select(1:23)
pol_list <- BN_PBL_tworca_podm_full %>%
select(TW_DZ_DZIAL_ID,DZ_NAZWA) %>%
unique() %>%
filter(grepl("literatura polska",DZ_NAZWA))
test <- sqldf("select *
from test a
left join pol_list b on SUBSTR(a.tw_nazwisko,1,1)=SUBSTR(b.DZ_NAZWA,length(b.DZ_NAZWA),1)")
test$TW_DZ_DZIAL_ID <- ifelse(is.na(test$TW_TWORCA_ID), test$TW_DZ_DZIAL_ID..24,test$TW_DZ_DZIAL_ID)
test$DZ_NAZWA <- ifelse(is.na(test$TW_TWORCA_ID), test$DZ_NAZWA..25, test$DZ_NAZWA)
test <- test %>%
select(1:23)
#przypisanie po analizie
BN_PBL_tworca_podm_full <- rbind(BN_PBL_tworca_podm_full, test)
BN_PBL_tworca_podm_full$TW_DZ_DZIAL_ID[21280] <- 551
BN_PBL_tworca_podm_full$DZ_NAZWA[21280] <- "Has?a osobowe (ameryka?ska)"
BN_PBL_tworca_podm_full$TW_DZ_DZIAL_ID[21295] <- 1388
BN_PBL_tworca_podm_full$DZ_NAZWA[21295] <- "Has?a osobowe (litewska)"
dz_nazwa_full <- BN_PBL_tworca_podm_full %>%
select(TW_TWORCA_ID,licznik,DZ_NAZWA, TW_DZ_DZIAL_ID, tw_imie, tw_nazwisko)
dz_nazwa_full <- dz_nazwa_full[order(dz_nazwa_full$licznik),]
dz_nazwa <- dz_nazwa_full %>%
select(licznik, DZ_NAZWA)
#13
dz_dzial_id <- dz_nazwa_full %>%
select(licznik, DZ_DZIAL_ID=TW_DZ_DZIAL_ID)
#14
marc_field <- data %>%
select(licznik,X245)#%>%
marc_field$X245<-str_remove_all(marc_field$X245,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X245 <- str_replace(marc_field$X245,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X245),str_replace_all(gsub(string,"\\3",marc_field$X245),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field$`$a`[is.na(marc_field$`$a`)] <- ""
marc_field$`$b`[is.na(marc_field$`$b`)] <- ""
za_tytul <- data.frame(tytul_bn = paste(marc_field$`$a`,marc_field$`$b`,sep = ""), licznik = marc_field$licznik)
za_tytul$tytul_bn <- str_remove(za_tytul$tytul_bn, "\\s+\\/$")
za_tytul <- mutate(za_tytul,
tytul = gsub("([a-z?????])( )(:)( {0,1})(\\({0,1})([a-z?????A-Z?ӥ??????])(.)","\\1.\\2\\U\\5\\6\\E\\7",perl = TRUE, za_tytul$tytul_bn))
za_tytul$tytul <- gsub("( )(:)( {0,1}[a-z])(.)","\\1\\U\\3\\E\\4",perl = TRUE, za_tytul$tytul)
za_tytul$tytul <- str_replace(za_tytul$tytul, "([^\\.])(\\.$)","\\1")
za_tytul <- za_tytul %>%
select(2,3)
lista_gat_pbl <- data.frame(gatunek = c("aforyzm","album","antologia","autobiografia","dziennik","esej","felieton","inne","kazanie","list","miniatura proz?","opowiadanie","poemat","powie??","proza","proza poetycka","reporta?","rozmy?lanie religijne","rysunek, obraz","scenariusz","szkic","tekst biblijny","tekst dramatyczny","wiersz","wspomnienie","wypowied?"))
test <- data %>%
select(licznik,X655,X650)
test2 <- sqldf("select *
from test a
left join lista_gat_pbl b on lower(a.X650) like '%'||b.gatunek||'%'")
test <- sqldf("select *
from test a
left join lista_gat_pbl b on lower(a.X655) like '%'||b.gatunek||'%'")
test <- test %>%
select(licznik,gatunek)
test2 <- test2 %>%
select(licznik,gatunek)
test <- rbind(test,test2)
test <- test %>%
unique()
test <- test[order(test$licznik,test$gatunek),]
test %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> test$same
test$same[1] <- 0
test <- test %>%
filter(same==0) %>%
select(-length(test))
za_tytul <- merge(x=za_tytul,y=test, by = "licznik", all.x = TRUE)
za_tytul$tytul <- ifelse(!is.na(za_tytul$gatunek),paste(za_tytul$tytul,". [",gsub("(^.)","\\U\\1",perl = TRUE, za_tytul$gatunek),"]",sep = ""),za_tytul$tytul)
#15
marc_field <- data %>%
select(licznik,X246)
marc_field$X246 <- str_replace_all(marc_field$X246,"(^|\\|)","~\\1")
marc_field <- cSplit(marc_field,"X246",sep = "~",direction = "long")
marc_field$X246<-str_remove_all(marc_field$X246,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X246,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X246,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X246 <- str_replace(marc_field$X246,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X246),str_replace_all(gsub(string,"\\3",marc_field$X246),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field$`$a`[is.na(marc_field$`$a`)] <- ""
marc_field$`$b`[is.na(marc_field$`$b`)] <- ""
za_tytul_oryginalu <- marc_field %>%
select(licznik,`$a`,`$b`,`$i`)
za_tytul_oryginalu <- mutate(za_tytul_oryginalu,
tytul = ifelse(grepl("yt\\.{0,1} oryg|yt\\.{0,1}oryg|yt\\.{0,1} org|ytu[l?] orygina",za_tytul_oryginalu$`$i`),paste(za_tytul_oryginalu$`$a`,za_tytul_oryginalu$`$b`,sep = ""),NA))
za_tytul_oryginalu <- za_tytul_oryginalu[order(za_tytul_oryginalu$licznik,za_tytul_oryginalu$tytul),]
za_tytul_oryginalu %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> za_tytul_oryginalu$same
za_tytul_oryginalu$same[1] <- 0
za_tytul_oryginalu <- za_tytul_oryginalu %>%
filter(same==0) %>%
select(-length(za_tytul_oryginalu))
za_tytul_oryginalu <- za_tytul_oryginalu %>%
select(1,5)
za_tytul_oryginalu$tytul <- gsub("([a-z?????])( )(:)( {0,1})(\\({0,1})([a-z?????A-Z?ӥ??????])(.)","\\1.\\2\\U\\5\\6\\E\\7",perl = TRUE, za_tytul_oryginalu$tytul)
za_tytul_oryginalu$tytul <- gsub("( )(:)( {0,1}[a-z])(.)","\\1\\U\\3\\E\\4",perl = TRUE, za_tytul_oryginalu$tytul)
za_tytul_oryginalu$tytul <- str_replace(za_tytul_oryginalu$tytul, "([^\\.])(\\.$)","\\1")
#16
marc_field <- data %>%
select(licznik,X041)
marc_field$X041<-str_remove_all(marc_field$X041,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X041,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X041,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X041 <- str_replace(marc_field$X041,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X041),str_replace_all(gsub(string,"\\3",marc_field$X041),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
za_jezyk_oryginalu <- marc_field %>%
select(licznik,jezyk_oryginalu = `$a`)
za_jezyk_oryginalu$jezyk_oryginalu <- str_replace_all(za_jezyk_oryginalu$jezyk_oryginalu,"\\$a","|")
#17
BN_wspoltworca$X700[BN_wspoltworca$drugi_autor!=""] <- NA
BN_wspoltworca <- BN_wspoltworca %>%
filter(!is.na(X700))
marc_field <- BN_wspoltworca %>%
select(licznik,X700)
marc_field$X700<-str_remove_all(marc_field$X700,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X700,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_wspoltworca$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X700 <- str_replace(marc_field$X700,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X700),str_replace_all(gsub(string,"\\3",marc_field$X700),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field$`$e` <- str_replace_all(marc_field$`$e`,"\\$e","|")
BN_wspoltworca <- marc_field %>%
select(licznik,osoba = `$a`,funkcja = `$e`) %>%
filter(!is.na(funkcja))
BN_wspoltworca <- mutate(BN_wspoltworca,
ws_prosty = str_replace_all(str_to_lower(BN_wspoltworca$osoba), "\\W", ""),
fu_prosta = str_replace_all(str_to_lower(BN_wspoltworca$funkcja), "\\W", ""))
BN_PBL_wspoltworcy <- merge(x = BN_wspoltworca, y = PBL_wspoltworcy, by.x = "ws_prosty", by.y = 'nazwa_prosta', sort = FALSE, all.x = TRUE)
BN_PBL_wspoltworcy <- merge(x = BN_PBL_wspoltworcy, y = PBL_funkcje, by.x = "fu_prosta",by.y = 'nazwa', sort = FALSE, all.x = TRUE)
BN_PBL_wspoltworcy <- BN_PBL_wspoltworcy[order(as.integer(as.character(BN_PBL_wspoltworcy$licznik))),]
BN_PBL_wspoltworcy$osoba <- str_remove(BN_PBL_wspoltworcy$osoba,"(?<=[a-z?????])(\\.$)")
BN_PBL_wspoltworcy <- mutate(BN_PBL_wspoltworcy,
osoba_nazw = ifelse(grepl(",",BN_PBL_wspoltworcy$osoba),str_replace_all(BN_PBL_wspoltworcy$osoba,"(.*?)(, )(.*)","\\1"),as.character(BN_PBL_wspoltworcy$osoba)),
osoba_imie = ifelse(grepl(",",BN_PBL_wspoltworcy$osoba),str_replace_all(BN_PBL_wspoltworcy$osoba,"(.*?)(, )(.*)","\\3"),""))
test <- data %>%
select(licznik)
BN_PBL_wspoltworcy <- merge(x = test, y =BN_PBL_wspoltworcy,by = "licznik", all = TRUE)
BN_PBL_wspoltw <- BN_PBL_wspoltworcy %>%
select(licznik, OS_OSOBA_ID,osoba_nazw,osoba_imie,fo_symbol)
os_osoba_id <- BN_PBL_wspoltw %>%
select(licznik,OS_OSOBA_ID)
os_nazwisko <- BN_PBL_wspoltw
os_nazwisko$osoba_nazw[!is.na(os_nazwisko$OS_OSOBA_ID)] <- NA
os_nazwisko <- os_nazwisko %>%
select(licznik, os_nazwisko = osoba_nazw)
os_imie <- BN_PBL_wspoltw
os_imie$osoba_imie[!is.na(os_imie$OS_OSOBA_ID)] <- NA
os_imie <- os_imie %>%
select(licznik, os_imie = osoba_imie)
#22
za_opis_wspoltworcow <- BN_PBL_wspoltworcy %>%
select(licznik,funkcja,osoba_imie,osoba_nazw)
za_opis_wspoltworcow$funkcja <- ifelse(is.na(za_opis_wspoltworcow$funkcja),"",as.character(za_opis_wspoltworcow$funkcja))
za_opis_wspoltworcow$osoba_nazw <- ifelse(is.na(za_opis_wspoltworcow$osoba_nazw),"",as.character(za_opis_wspoltworcow$osoba_nazw))
za_opis_wspoltworcow$osoba_imie <- ifelse(is.na(za_opis_wspoltworcow$osoba_imie),"",as.character(za_opis_wspoltworcow$osoba_imie))
za_opis_wspoltworcow <- mutate(za_opis_wspoltworcow,
opis = paste(za_opis_wspoltworcow$funkcja,za_opis_wspoltworcow$osoba_imie, za_opis_wspoltworcow$osoba_nazw, sep = " "))
za_opis_wspoltworcow$opis <- str_replace_all(za_opis_wspoltworcow$opis," +"," ")
za_opis_wspoltworcow$opis[za_opis_wspoltworcow$opis==" "] <- ""
za_opis_wspoltworcow <- za_opis_wspoltworcow %>%
select(licznik,opis)
za_opis_wspoltworcow <- ddply(za_opis_wspoltworcow, .(licznik), summarize, opis = paste(opis, collapse=". "))
test <- data %>%
select(licznik)
za_opis_wspoltworcow <- merge(x=test,y=za_opis_wspoltworcow, by = "licznik", all = TRUE)
#23
marc_field <- data %>%
select(licznik,X250)
marc_field$X250<-str_replace_all(marc_field$X250,"(^|\\|)","~\\1")
marc_field<- cSplit(marc_field,"X250",sep = "~",direction = "long")
marc_field$X250<-str_remove_all(marc_field$X250,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X250,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X250,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X250 <- str_replace(marc_field$X250,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X250),str_replace_all(gsub(string,"\\3",marc_field$X250),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
za_wydanie <- marc_field %>%
select(licznik, wydanie = `$a`)
za_wydanie$wydanie <- str_remove(za_wydanie$wydanie," \\/$")
za_wydanie <- za_wydanie[order(za_wydanie$licznik,za_wydanie$wydanie),]
za_wydanie %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> za_wydanie$same
za_wydanie$same[1] <- 0
za_wydanie <- za_wydanie %>%
filter(same==0) %>%
select(-length(za_wydanie))
#24
marc_field <- data %>%
select(licznik,X245)
marc_field$X245<-str_replace_all(marc_field$X245,"(^|\\|)","~\\1")
marc_field<- cSplit(marc_field,"X245",sep = "~",direction = "long")
marc_field<- marc_field%>%
filter(X245!="")
marc_field$X245<-str_remove_all(marc_field$X245,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X245 <- str_replace(marc_field$X245,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X245),str_replace_all(gsub(string,"\\3",marc_field$X245),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
za_instytucja <- marc_field %>%
select(licznik, X245 = `$c`)
za_instytucja <- za_instytucja[order(za_instytucja$licznik,za_instytucja$X245),]
za_instytucja %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> za_instytucja$same
za_instytucja$same[1] <- 0
za_instytucja <- za_instytucja %>%
filter(same==0) %>%
select(-length(za_instytucja))
za_instytucja <- mutate(za_instytucja,
instytucja = ifelse(grepl("\\;",za_instytucja$X245),str_replace_all(za_instytucja$X245, "(.*?)(\\;(?!.*\\;))( )+(.*?$)","\\4"),""))
za_instytucja <- merge(x=za_instytucja,y=BN_PBL_wspoltworcy,by = "licznik",all.x = TRUE)
za_instytucja <- za_instytucja %>%
select(1,2,3,16,17)
za_instytucja <- mutate(za_instytucja,
czy_naz = str_detect(za_instytucja$X245,za_instytucja$osoba_nazw),
czy_im = str_detect(za_instytucja$X245,za_instytucja$osoba_imie))
test <- za_instytucja %>%
filter(is.na(czy_naz)&is.na(czy_im)) %>%
filter(instytucja!="") %>%
filter(!(grepl("^\\[[a-z?????]|^[a-z?????]",instytucja))) %>%
select(licznik,instytucja)
test$instytucja <- str_remove(test$instytucja,"(?<=[a-z?????])(\\.$)")
za_instytucja <- test
test <- data %>%
select(licznik)
za_instytucja <- merge(x=za_instytucja,y=test,by = "licznik", all = TRUE)
#25
BN_wydawnictwo <- bn_ok %>%
select(id, X260) %>%
mutate(X260 = str_replace_all(X260,"s\\.n\\.", "b.w."),
X260 = str_replace_all(X260,"s\\.l\\.", "b.m."),
X260 = str_replace_all(X260,"S\\.l\\.", "b.m."),
X260 = str_remove(X260,"^\\\\+"),
rok_wydania = str_extract_all(X260, "(?<=\\$c).*(?=\\$e)|(?<=\\$c).*"),
bez_roku = str_replace_all(X260, ".\\$c.*", ""),
ile_wydawnictw = str_count(BN_wydawnictwo$bez_roku, "\\$b"),
ile_miejsc = str_count(bez_roku, "\\$a"),
kolejnosc = str_replace_all(as.character(str_extract_all(bez_roku, "\\$.")), "[^a-z]", ""),
bez_roku = str_replace_all(bez_roku, ";\\$b", ":$b"))
a <- BN_wydawnictwo %>%
mutate(wydaw_podziel = ifelse(ile_wydawnictw>ile_miejsc|kolejnosc=="caabb", str_replace_all(bez_roku, "(\\$a)(.*?)( :\\$b.*?)( :\\$b)", "\\1\\2\\3 ;$a\\2\\4"),bez_roku))
b <- a %>%
mutate(wydawnictwo_test = str_replace_all(wydaw_podziel, "(\\$b)(.*?)( ;\\$a)", "\\1\\2|\\3"))
BN_wydawnictwo <- b %>%
select(licznik,rok_wydania,wydawnictwo_test)
wydaw_2 <- cSplit(BN_wydawnictwo, "wydawnictwo_test", sep = "|", direction = "long")
wydaw_3 <- wydaw_2 %>%
mutate(wydawnictwo = str_extract_all(wydawnictwo_test, "(?<=\\$b)(.*)"),
miejsce_wydania = str_replace_all(str_extract_all(wydawnictwo_test, "(?<=\\$a)(.*)(?= {0,1}: {0,1}\\$b)|(?<=\\$a)(.*)($)")," ;\\$a", ", "),
nazwa_prosta = str_to_lower(str_replace_all(str_replace_all(unlist(wydawnictwo_test), "\\$\\w", ""), "\\W", "")),
lp = 1:lengths(wydaw_2))
BN_PBL_wydawnictwa <- merge( x = wydaw_3, y = PBL_wydawnictwa, by = 'nazwa_prosta', sort = FALSE, all.x = TRUE, allow.cartesian = TRUE)
BN_PBL_wydawnictwa$to_samo <- BN_PBL_wydawnictwa$wydawnictwo==BN_PBL_wydawnictwa$WY_NAZWA
BN_PBL_wydawnictwa <- BN_PBL_wydawnictwa[order(as.integer(as.character(BN_PBL_wydawnictwa$licznik)), -BN_PBL_wydawnictwa$to_samo, -BN_PBL_wydawnictwa$WY_LICZBA_ZAPISOW),]
BN_PBL_wydawnictwa %$%
{ as.integer(licznik) == dplyr::lag(as.integer(licznik), 1) & nazwa_prosta==lag(nazwa_prosta)} %>%
as.numeric() %>%
{.} -> BN_PBL_wydawnictwa$same
BN_PBL_wydawnictwa$same[1] <- 0
BN_PBL_wydawnictwa <- BN_PBL_wydawnictwa %>%
filter(same==0)
wy_wydawnictwo_id <- BN_PBL_wydawnictwa %>%
select(licznik, WY_WYDAWNICTWO_ID)
wy_wydawnictwo_id <- wy_wydawnictwo_id[order(as.integer(as.character(wy_wydawnictwo_id$licznik))),]
#26
wy_miejsce <- BN_PBL_wydawnictwa %>%
select(licznik, WY_WYDAWNICTWO_ID,miejsce_wydania)
wy_miejsce$miejsce_wydania <- ifelse(is.na(wy_miejsce$WY_WYDAWNICTWO_ID),as.character(wy_miejsce$miejsce_wydania),"")
#27
wy_nazwa <- BN_PBL_wydawnictwa %>%
select(licznik, WY_WYDAWNICTWO_ID,wydawnictwo)
wy_nazwa$wydawnictwo <- ifelse(is.na(wy_miejsce$WY_WYDAWNICTWO_ID),as.character(wy_nazwa$wydawnictwo),"")
#28
za_rok_wydania <- BN_PBL_wydawnictwa %>%
select(licznik, rok_wydania) %>%
unique()
za_rok_wydania$rok_wydania <- str_replace_all(za_rok_wydania$rok_wydania, "(.*)(\\.)", "\\1")
za_rok_wydania$dobry_rok <- ifelse(nchar(as.character(za_rok_wydania$rok_wydania))==4,as.character(za_rok_wydania$rok_wydania),NA)
za_rok_wydania$do_opisu <- ifelse(is.na(za_rok_wydania$dobry_rok),paste("[",str_extract(za_rok_wydania$rok_wydania,"\\d{4}"),"]",sep = ""),"")
#29
marc_field300 <- data %>%
select(licznik,X300)
marc_field300$X300<-str_remove_all(marc_field300$X300,"^\\|")
marc_field300 <- mutate(marc_field300,
indicator = str_replace_all(marc_field300$X300,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X300,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field300)[1]))
colnames(empty_table) <-subfield_list
marc_field300<-cbind(marc_field300,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field300$X300 <- str_replace(marc_field300$X300,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field300[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field300$X300),str_replace_all(gsub(string,"\\3",marc_field300$X300),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field300$`$a` <- str_remove(marc_field300$`$a`," \\;+$| \\:+$")
marc_field300$`$b` <- str_remove(marc_field300$`$b`," \\;+$| \\:+$")
marc_field300$`$a`[is.na(marc_field300$`$a`)] <- ""
marc_field300$`$b`[is.na(marc_field300$`$b`)] <- ""
marc_field500 <- data %>%
select(licznik,X500)
marc_field500$X500<-str_remove_all(marc_field500$X500,"^\\|")
marc_field500 <- mutate(marc_field500,
indicator = str_replace_all(marc_field500$X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field500)[1]))
colnames(empty_table) <-subfield_list
marc_field500<-cbind(marc_field500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field500$X500 <- str_replace(marc_field500$X500,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field500$X500),str_replace_all(gsub(string,"\\3",marc_field500$X500),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field546 <- data %>%
select(licznik,X546)
marc_field546$X546<-str_remove_all(marc_field546$X546,"^\\|")
marc_field546 <- mutate(marc_field546,
indicator = str_replace_all(marc_field546$X546,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X546,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field546)[1]))
colnames(empty_table) <-subfield_list
marc_field546<-cbind(marc_field546,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field546$X546 <- str_replace(marc_field546$X546,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field546[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field546$X546),str_replace_all(gsub(string,"\\3",marc_field546$X546),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field500$`$a` <- str_remove(marc_field500$`$a`," \\;+$| \\:+$")
marc_field546$`$a` <- str_remove(marc_field546$`$a`," \\;+$| \\:+$")
marc_field500$`$a`[is.na(marc_field500$`$a`)] <- ""
marc_field546$`$a`[is.na(marc_field546$`$a`)] <- ""
za_opis_ks <- data.frame(opis_ks = paste(za_rok_wydania$do_opisu, marc_field300$`$a`,marc_field300$`$b`,marc_field500$`$a`, marc_field546$`$a`,sep = ", "), licznik = as.integer(za_rok_wydania$licznik))
za_opis_ks$opis_ks <- str_replace(za_opis_ks$opis_ks,", , ", ", ")
za_opis_ks$opis_ks <- str_replace(za_opis_ks$opis_ks,", , ", ", ")
za_opis_ks$opis_ks <- str_remove_all(za_opis_ks$opis_ks, "^, |, $")
#30
marc_field490 <- data %>%
select(licznik,X490)
marc_field490 <- cSplit(marc_field490,"X490",sep = "|",direction = "long")
marc_field490 <- marc_field490%>%
filter(X490!="")
marc_field490$X490<-str_remove_all(marc_field490$X490,"^\\|")
marc_field490 <- mutate(marc_field490,
indicator = str_replace_all(marc_field490$X490,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X490,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field490)[1]))
colnames(empty_table) <-subfield_list
marc_field490<-cbind(marc_field490,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field490$X490 <- str_replace(marc_field490$X490,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field490[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field490$X490),str_replace_all(gsub(string,"\\3",marc_field490$X490),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field490$`$a` <- str_remove(marc_field490$`$a`," \\;+$| \\:+$")
marc_field490$`$a`[is.na(marc_field490$`$a`)] <- ""
marc_field490$`$v`[is.na(marc_field490$`$v`)] <- ""
marc_field490$seria <- str_remove(paste("(",marc_field490$`$a`,", ",marc_field490$`$v`,")",sep = ""),", (?=\\)$)")
marc_field490 <- marc_field490 %>%
select(licznik,seria)
marc_field490 <- ddply(marc_field490, .(licznik), summarize, seria = paste(seria, collapse=" "))
test <- data %>%
select(licznik)
za_seria_wydawnicza <- merge(x = test, y = marc_field490, by = "licznik", all = TRUE)
#31
za_tomy <-data.frame(licznik=1:lengths(data), za_tomy = NA)
#32
pracownik <- merge(x = dz_nazwa_full, y = redaktorzy_dzialow, by.x = "TW_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
pracownik <- pracownik[order(as.integer(as.character(pracownik$licznik))),]
pracownik <- pracownik %>%
select(licznik,redaktor_dzialu)
colnames(pracownik) <- c("licznik", "pracownik")
dz_nazwa_full <- data.frame(dz_nazwa_full, pracownik = pracownik$pracownik)
#33 adnotacje
za_adnotacje <- data.frame(cbind(BN_PBL_tworca_podm_full$ZA_ADNOTACJE,data$licznik, data$X505))
colnames(za_adnotacje) <- c("adnotacje","licznik","X505")
za_adnotacje$adnotacje <- ifelse(is.na(za_adnotacje$adnotacje),"",as.character(za_adnotacje$adnotacje))
za_adnotacje$X505 <- ifelse(is.na(za_adnotacje$X505),"",as.character(za_adnotacje$X505))
za_adnotacje$adnotacje <- paste(za_adnotacje$adnotacje,za_adnotacje$X505,sep = "|")
za_adnotacje$adnotacje[za_adnotacje$adnotacje=="|"] <- ""
za_adnotacje <- za_adnotacje %>%
select(1,2)
#??czenie
#wyr?wnanie liczby wierszy
autorzy <- data.frame(cbind(am_autor_id$licznik,am_autor_id$AM_AUTOR_ID,am_nazwisko$am_nazwisko,am_imie$am_imie))
colnames(autorzy) <- c("licznik", "AM_AUTOR_ID", "AM_NAZWISKO", "AM_IMIE")
autorzy$AM_AUTOR_ID <- ifelse(is.na(autorzy$AM_AUTOR_ID),"",as.character(autorzy$AM_AUTOR_ID))
autorzy$AM_NAZWISKO <- ifelse(is.na(autorzy$AM_NAZWISKO),"",as.character(autorzy$AM_NAZWISKO))
autorzy$AM_IMIE <- ifelse(is.na(autorzy$AM_IMIE),"",as.character(autorzy$AM_IMIE))
autorzy <- ddply(autorzy, .(licznik), summarize, AM_AUTOR_ID = paste(AM_AUTOR_ID, collapse="|"), AM_NAZWISKO = paste(AM_NAZWISKO, collapse="|"), AM_IMIE = paste(AM_IMIE, collapse="|"))
autorzy <- autorzy[order(as.integer(as.character(autorzy$licznik))),]
wspoltworcy <- data.frame(cbind(os_osoba_id$licznik, os_osoba_id$OS_OSOBA_ID,os_nazwisko$os_nazwisko,os_imie$os_imie,BN_PBL_wspoltw$fo_symbol))
colnames(wspoltworcy) <- c("licznik", "OS_OSOBA_ID", "OS_NAZWISKO", "OS_IMIE", "FO_SYMBOL")
wspoltworcy$OS_OSOBA_ID <- ifelse(is.na(wspoltworcy$OS_OSOBA_ID),"",as.character(wspoltworcy$OS_OSOBA_ID))
wspoltworcy$OS_NAZWISKO <- ifelse(is.na(wspoltworcy$OS_NAZWISKO),"",as.character(wspoltworcy$OS_NAZWISKO))
wspoltworcy$OS_IMIE <- ifelse(is.na(wspoltworcy$OS_IMIE),"",as.character(wspoltworcy$OS_IMIE))
wspoltworcy$FO_SYMBOL <- ifelse(is.na(wspoltworcy$FO_SYMBOL),"",as.character(wspoltworcy$FO_SYMBOL))
wspoltworcy <- ddply(wspoltworcy, .(licznik), summarize, OS_OSOBA_ID = paste(OS_OSOBA_ID, collapse="|"), OS_NAZWISKO = paste(OS_NAZWISKO, collapse="|"), OS_IMIE = paste(OS_IMIE, collapse="|"), FO_SYMBOL = paste(FO_SYMBOL, collapse="|"))
wspoltworcy <- wspoltworcy[order(as.integer(as.character(wspoltworcy$licznik))),]
wydawnictwa <- data.frame(cbind(wy_wydawnictwo_id$licznik, wy_wydawnictwo_id$WY_WYDAWNICTWO_ID,wy_nazwa$wydawnictwo,wy_miejsce$miejsce_wydania))
colnames(wydawnictwa) <- c("licznik", "WY_WYDAWNICTWO_ID", "WY_NAZWA", "WY_MIEJSCE")
wydawnictwa$WY_WYDAWNICTWO_ID <- ifelse(is.na(wydawnictwa$WY_WYDAWNICTWO_ID),"",as.character(wydawnictwa$WY_WYDAWNICTWO_ID))
wydawnictwa$WY_NAZWA <- ifelse(is.na(wydawnictwa$WY_NAZWA),"",as.character(wydawnictwa$WY_NAZWA))
wydawnictwa$WY_MIEJSCE <- ifelse(is.na(wydawnictwa$WY_MIEJSCE),"",as.character(wydawnictwa$WY_MIEJSCE))
wydawnictwa$licznik <- as.integer(wydawnictwa$licznik)
wydawnictwa <- ddply(wydawnictwa, .(licznik), summarize, WY_WYDAWNICTWO_ID = paste(WY_WYDAWNICTWO_ID, collapse="|"), WY_NAZWA = paste(WY_NAZWA, collapse="|"), WY_MIEJSCE = paste(WY_MIEJSCE, collapse="|"))
wydawnictwa <- wydawnictwa[order(as.integer(as.character(wydawnictwa$licznik))),]
polaczone <- data.frame(
licznik = za_uwagi$licznik,
rekord_BN = za_uwagi$za_uwagi,
rz_nazwa = rz_nazwa$rz_nazwa,
za_ro_rok = za_ro_rok$za_ro_rok,
za_type = za_type$za_type,
rz_rodzaj_id = rz_rodzaj_id$RZ_RODZAJ_ID,
DZ_NAZWA = dz_nazwa$DZ_NAZWA,
DZ_DZIAL_ID = dz_dzial_id$DZ_DZIAL_ID,
tw_tworca_id = tw_tworca_id$TW_TWORCA_ID,
am_autor_id = autorzy$AM_AUTOR_ID,
am_nazwisko = autorzy$AM_NAZWISKO,
am_imie = autorzy$AM_IMIE,
za_tytul = za_tytul$tytul,
za_tytul_oryginalu = za_tytul_oryginalu$tytul,
za_jezyk_oryginalu = za_jezyk_oryginalu$jezyk_oryginalu,
os_osoba_id = wspoltworcy$OS_OSOBA_ID,
os_nazwisko = wspoltworcy$OS_NAZWISKO,
os_imie = wspoltworcy$OS_IMIE,
fo_symbol = wspoltworcy$FO_SYMBOL,
za_opis_wspoltworcow = za_opis_wspoltworcow$opis,
za_wydanie = za_wydanie$wydanie,
za_tomy = za_tomy$za_tomy,
za_instytucja = za_instytucja$instytucja,
wy_wydawnictwo_id = wydawnictwa$WY_WYDAWNICTWO_ID,
wy_miejsce = wydawnictwa$WY_MIEJSCE,
wy_nazwa = wydawnictwa$WY_NAZWA,
za_rok_wydania = za_rok_wydania$dobry_rok,
za_opis_fizyczny_ksiazki = za_opis_ks$opis_ks,
za_seria_wydawnicza = za_seria_wydawnicza$seria,
tw_nazwisko = tw_nazwisko$tw_nazwisko,
tw_imie = tw_imie$tw_imie,
pracownik = pracownik$pracownik,
za_adnotacje = za_adnotacje$adnotacje
)
out <- cSplit(polaczone, c("am_autor_id", "am_nazwisko", "am_imie","os_osoba_id","os_nazwisko", "os_imie", "fo_symbol","wy_wydawnictwo_id","wy_miejsce","wy_nazwa"),sep = "|",direction = "long")
out <- out %>%
unique()
out$licznik <- ifelse(is.na(out$licznik),'',as.character(out$licznik))
out$rekord_BN <- ifelse(is.na(out$rekord_BN),'',as.character(out$rekord_BN))
out$rz_nazwa <- ifelse(is.na(out$rz_nazwa),'',as.character(out$rz_nazwa))
out$za_ro_rok <- ifelse(is.na(out$za_ro_rok),'',as.character(out$za_ro_rok))
out$za_type <- ifelse(is.na(out$za_type),'',as.character(out$za_type))
out$rz_rodzaj_id <- ifelse(is.na(out$rz_rodzaj_id),'',as.character(out$rz_rodzaj_id))
out$DZ_NAZWA <- ifelse(is.na(out$DZ_NAZWA),'',as.character(out$DZ_NAZWA))
out$DZ_DZIAL_ID <- ifelse(is.na(out$DZ_DZIAL_ID),'',as.character(out$DZ_DZIAL_ID))
out$tw_tworca_id <- ifelse(is.na(out$tw_tworca_id),'',as.character(out$tw_tworca_id))
out$am_autor_id <- ifelse(is.na(out$am_autor_id),'',as.character(out$am_autor_id))
out$am_nazwisko <- ifelse(is.na(out$am_nazwisko),'',as.character(out$am_nazwisko))
out$am_imie <- ifelse(is.na(out$am_imie),'',as.character(out$am_imie))
out$za_tytul <- ifelse(is.na(out$za_tytul),'',as.character(out$za_tytul))
out$za_tytul_oryginalu <- ifelse(is.na(out$za_tytul_oryginalu),'',as.character(out$za_tytul_oryginalu))
out$za_jezyk_oryginalu <- ifelse(is.na(out$za_jezyk_oryginalu),'',as.character(out$za_jezyk_oryginalu))
out$os_osoba_id <- ifelse(is.na(out$os_osoba_id),'',as.character(out$os_osoba_id))
out$os_nazwisko <- ifelse(is.na(out$os_nazwisko),'',as.character(out$os_nazwisko))
out$os_imie <- ifelse(is.na(out$os_imie),'',as.character(out$os_imie))
out$fo_symbol <- ifelse(is.na(out$fo_symbol),'',as.character(out$fo_symbol))
out$za_opis_wspoltworcow <- ifelse(is.na(out$za_opis_wspoltworcow),'',as.character(out$za_opis_wspoltworcow))
out$za_wydanie <- ifelse(is.na(out$za_wydanie),'',as.character(out$za_wydanie))
out$za_tomy <- ifelse(is.na(out$za_tomy),'',as.character(out$za_tomy))
out$za_instytucja <- ifelse(is.na(out$za_instytucja),'',as.character(out$za_instytucja))
out$wy_wydawnictwo_id <- ifelse(is.na(out$wy_wydawnictwo_id),'',as.character(out$wy_wydawnictwo_id))
out$wy_miejsce <- ifelse(is.na(out$wy_miejsce),'',as.character(out$wy_miejsce))
out$wy_nazwa <- ifelse(is.na(out$wy_nazwa),'',as.character(out$wy_nazwa))
out$za_rok_wydania <- ifelse(is.na(out$za_rok_wydania),'',as.character(out$za_rok_wydania))
out$za_opis_fizyczny_ksiazki <- ifelse(is.na(out$za_opis_fizyczny_ksiazki),'',as.character(out$za_opis_fizyczny_ksiazki))
out$za_seria_wydawnicza <- ifelse(is.na(out$za_seria_wydawnicza),'',as.character(out$za_seria_wydawnicza))
out$tw_nazwisko <- ifelse(is.na(out$tw_nazwisko),'',as.character(out$tw_nazwisko))
out$tw_imie <- ifelse(is.na(out$tw_imie),'',as.character(out$tw_imie))
out$pracownik <- ifelse(is.na(out$pracownik),'',as.character(out$pracownik))
out$za_adnotacje <- ifelse(is.na(out$za_adnotacje),'',as.character(out$za_adnotacje))
out %$%
{ licznik == dplyr::lag(licznik, 1) & rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,)} %>%
as.numeric() %>%
{.} -> out$same
out$same[1] <- 0
out$dzielone <- paste(out$am_autor_id,out$am_nazwisko,out$am_imie,out$os_osoba_id,out$os_nazwisko,out$os_imie,out$fo_symbol,out$wy_wydawnictwo_id,out$wy_miejsce,out$wy_nazwa,sep = "")
out <- out %>%
filter(!(same==1&dzielone=="")) %>%
select(1:33)
out %$%
{ licznik == dplyr::lag(licznik, 1) & rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,)} %>%
as.numeric() %>%
{.} -> out$same
out$rekord_BN[out$same == 1] <- ""
out$rz_nazwa[out$same == 1] <- ""
out$za_ro_rok[out$same == 1] <- ""
out$za_type[out$same == 1] <- ""
out$rz_rodzaj_id[out$same == 1] <- ""
out$DZ_NAZWA[out$same == 1] <- ""
out$DZ_DZIAL_ID[out$same == 1] <- ""
out$tw_tworca_id[out$same == 1] <- ""
out$za_tytul[out$same == 1] <- ""
out$za_tytul_oryginalu[out$same == 1] <- ""
out$za_jezyk_oryginalu[out$same == 1] <- ""
out$za_opis_wspoltworcow[out$same == 1] <- ""
out$za_wydanie[out$same == 1] <- ""
out$za_tomy[out$same == 1] <- ""
out$za_instytucja[out$same == 1] <- ""
out$za_rok_wydania[out$same == 1] <- ""
out$za_opis_fizyczny_ksiazki[out$same == 1] <- ""
out$za_seria_wydawnicza[out$same == 1] <- ""
out$tw_nazwisko[out$same == 1] <- ""
out$tw_imie[out$same == 1] <- ""
out$pracownik[out$same == 1] <- ""
out$za_adnotacje[out$same == 1] <- ""
out <- out %>%
select(1:33)
write.csv2(out, "C:/Users/Cezary/Desktop/2005-2008_podmiotowa_do_importu.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
out <- read.csv2("C:/Users/Cezary/Desktop/2005-2008_podmiotowa_do_importu.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
out$rekord_BN <- ifelse(is.na(out$rekord_BN),"", as.character(out$rekord_BN))
out$rekord_BN <- ifelse(nchar(out$rekord_BN)==13,out$rekord_BN, sprintf("%013d", as.integer(out$rekord_BN)))
out$rekord_BN[out$rekord_BN==" NA"] <- ""#tw?rcy
memory.limit(100000)
nowi_tworcy <- out %>%
select(licznik, tw_nazwisko, tw_imie)
nowi_tworcy <- nowi_tworcy %>%
filter(tw_nazwisko!="")
nowi_tworcy <- nowi_tworcy[order(nowi_tworcy$tw_nazwisko, nowi_tworcy$tw_nazwisko, as.integer(as.character(nowi_tworcy$licznik))),]
nowi_tworcy %$%
{ tw_nazwisko==lag(tw_nazwisko,1) & tw_imie==lag(tw_imie,)} %>%
as.numeric() %>%
{.} -> nowi_tworcy$same
nowi_tworcy$same[1] <- 0
nowi_tworcy <- nowi_tworcy %>%
filter(same==0) %>%
select(-same)
nazwa <- ifelse(is.na(nowi_tworcy$tw_imie),as.character(nowi_tworcy$tw_nazwisko),paste(nowi_tworcy$tw_nazwisko,nowi_tworcy$tw_imie, sep = ""))
nazwa <- data.frame(nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")))
nowi_tworcy <- data.frame(nowi_tworcy,nazwa)
tworcy_pbl <- PBL_tworcy %>%
select(1,2,3,18)
x <- 1:length(nowi_tworcy$licznik)
tworcy_check <- data.frame(licznik = as.character(), bn_nazwisko = as.character(), bn_imie = as.character(), n_aut = as.character(), TW_TWORCA_ID = as.character(), TW_NAZWISKO = as.character(), TW_IMIE = as.character(), V1 = as.character(), stringsAsFactors=FALSE)
for (i in x) {
progress(i, max.value = length(x))
lkj <- as.matrix(stringdistmatrix(a=nowi_tworcy$nazwa[i],b=tworcy_pbl$nazwa, method = "jw"))
lkj <- data.frame(V1 = as.vector(lkj))
kjh <- data.frame(licznik = rep(nowi_tworcy$licznik[i], length(tworcy_pbl$nazwa)), bn_nazwisko = rep(nowi_tworcy$tw_nazwisko[i], length(tworcy_pbl$nazwa)), bn_imie = rep(nowi_tworcy$tw_imie[i], length(tworcy_pbl$nazwa)), n_aut = rep(nowi_tworcy$nazwa[i], length(tworcy_pbl$nazwa)), tworcy_pbl, lkj)
kjh <- kjh[order(kjh$V1),]
kjh <- kjh %>%
top_n(-5,V1)
tworcy_check <- rbind(tworcy_check,kjh)
}
write.csv2(tworcy_check, "C:/Users/Cezary/Desktop/2005-2008_tworcy_check_podm.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
#wydawnictwa
nowe_wydawnictwo <- out %>%
select(licznik, wy_miejsce, wy_nazwa)
nowe_wydawnictwo <- nowe_wydawnictwo %>%
filter(wy_miejsce!="")
nowe_wydawnictwo <- nowe_wydawnictwo[order(nowe_wydawnictwo$wy_nazwa, nowe_wydawnictwo$wy_miejsce, as.integer(as.character(nowe_wydawnictwo$licznik))),]
nowe_wydawnictwo %$%
{ wy_nazwa==lag(wy_nazwa,1) & wy_miejsce==lag(wy_miejsce,)} %>%
as.numeric() %>%
{.} -> nowe_wydawnictwo$same
nowe_wydawnictwo$same[1] <- 0
nowe_wydawnictwo <- nowe_wydawnictwo %>%
filter(same==0) %>%
select(-same)
nazwa <- ifelse(is.na(nowe_wydawnictwo$wy_nazwa),as.character(nowe_wydawnictwo$wy_miejsce),paste(nowe_wydawnictwo$wy_miejsce,nowe_wydawnictwo$wy_nazwa, sep = ""))
nazwa <- data.frame(nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")))
nowe_wydawnictwo <- data.frame(nowe_wydawnictwo,nazwa)
wydawnictwa_pbl <- PBL_wydawnictwa %>%
select(1,3,2,10)
x <- 1:length(nowe_wydawnictwo$licznik)
wydawnictwa_check <- data.frame(licznik = as.character(), bn_miejsce = as.character(), bn_nazwa = as.character(), n_aut = as.character(), WY_WYDAWNICTWO_ID = as.character(), WY_MIEJSCE = as.character(), WY_NAZWA = as.character(), V1 = as.character(), stringsAsFactors=FALSE)
for (i in x) {
progress(i, max.value = length(x))
lkj <- as.matrix(stringdistmatrix(a=nowe_wydawnictwo$nazwa[i],b=wydawnictwa_pbl$nazwa_prosta, method = "jw"))
lkj <- data.frame(V1 = as.vector(lkj))
kjh <- data.frame(licznik = rep(nowe_wydawnictwo$licznik[i], length(wydawnictwa_pbl$nazwa_prosta)), bn_miejsce = rep(nowe_wydawnictwo$wy_miejsce[i], length(wydawnictwa_pbl$nazwa_prosta)), bn_nazwa = rep(nowe_wydawnictwo$wy_nazwa[i], length(wydawnictwa_pbl$nazwa_prosta)), n_aut = rep(nowe_wydawnictwo$nazwa[i], length(wydawnictwa_pbl$nazwa_prosta)), wydawnictwa_pbl, lkj)
kjh <- kjh[order(kjh$V1),]
kjh <- kjh %>%
top_n(-5,V1)
wydawnictwa_check <- rbind(wydawnictwa_check,kjh)
}
write.csv2(wydawnictwa_check, "C:/Users/Cezary/Desktop/2005-2008_wydawnictwa_check_podm.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')#tworcy
tworcy_check_podm <- gs_read(gs_title("2005-2008_tworcy_check_podm"))
tworcy_check_podm <- tworcy_check_podm %>%
filter(decyzja=="tak") %>%
select(bn_nazwisko, bn_imie, TW_TWORCA_ID)
tworcy_check_podm$merge_tworcy <- paste(tworcy_check_podm$bn_nazwisko,tworcy_check_podm$bn_imie,sep = "|")
out$merge_tworcy <- paste(out$tw_nazwisko,out$tw_imie,sep = "|")
final <- merge(x=out, y=tworcy_check_podm, by = "merge_tworcy", all.x = TRUE)
final <-final[order(as.integer(as.character(final$licznik)), final$DZ_NAZWA, final$am_autor_id, final$am_nazwisko, final$os_osoba_id, final$os_nazwisko, final$wy_wydawnictwo_id, final$wy_nazwa),]
final$TW_TWORCA_ID[final$tw_nazwisko==""|final$tw_nazwisko!=final$bn_nazwisko] <- NA
final$bn_nazwisko[final$tw_nazwisko==""|final$tw_nazwisko!=final$bn_nazwisko] <- NA
final$bn_imie[final$tw_nazwisko==""|final$tw_nazwisko!=final$bn_nazwisko] <- NA
final <- mutate(final,
napr = ifelse(final$tw_tworca_id=="",as.character(final$TW_TWORCA_ID),as.character(final$tw_tworca_id)))
final$tw_tworca_id <- final$napr
final$tw_imie <- ifelse(is.na(final$tw_tworca_id),as.character(final$tw_imie),NA)
final$tw_nazwisko <- ifelse(is.na(final$tw_tworca_id),as.character(final$tw_nazwisko),NA)
final <- final %>%
select(2:34)
#wydawnictwa
wydawnictwa_check_podm <- gs_read(gs_title("2005-2008_wydawnictwa_check_podm"))
wydawnictwa_check_podm <- wydawnictwa_check_podm %>%
filter(decyzja=="tak") %>%
select(bn_nazwa,bn_miejsce,WY_WYDAWNICTWO_ID)
wydawnictwa_check_podm$bn_miejsce <- str_remove(wydawnictwa_check_podm$bn_miejsce," \\[{0,10}etc\\.{0,10}\\]\\s{0,10}$")
wydawnictwa_check_podm$bn_nazwa <- str_remove(wydawnictwa_check_podm$bn_nazwa," \\[{0,10}etc\\.{0,10}\\s{0,10}$")
wydawnictwa_check_podm$bn_miejsce <- ifelse(grepl("\\[",wydawnictwa_check_podm$bn_miejsce)&!grepl("\\]",wydawnictwa_check_podm$bn_miejsce),str_remove(BN_wydawnictwo$bn_miejsce,"\\["),as.character(wydawnictwa_check_podm$bn_miejsce))
wydawnictwa_check_podm$bn_nazwa <- ifelse(grepl("\\]",wydawnictwa_check_podm$bn_nazwa)&!grepl("\\[",wydawnictwa_check_podm$bn_nazwa),str_remove(wydawnictwa_check_podm$bn_nazwa,"\\]"),as.character(wydawnictwa_check_podm$bn_nazwa))
wydawnictwa_check_podm$merge_wyd <- paste(wydawnictwa_check_podm$bn_nazwa,wydawnictwa_check_podm$bn_miejsce,sep = "|")
final$merge_wyd <- paste(final$wy_nazwa,final$wy_miejsce,sep = "|")
final <- merge(x=final, y=wydawnictwa_check_podm, by = "merge_wyd", all.x = TRUE)
final <-final[order(as.integer(as.character(final$licznik)), final$DZ_NAZWA, final$am_autor_id, final$am_nazwisko, final$os_osoba_id, final$os_nazwisko, final$wy_wydawnictwo_id, final$wy_nazwa),]
final$WY_WYDAWNICTWO_ID[final$wy_nazwa==""&is.na(final$wy_miejsce)] <- NA
final$wy_miejsce[final$wy_nazwa==""&is.na(final$wy_miejsce)] <- NA
final$wy_nazwa[final$wy_nazwa==""&is.na(final$wy_miejsce)] <- NA
final <- mutate(final,
napr = ifelse(final$wy_wydawnictwo_id=="",as.character(final$WY_WYDAWNICTWO_ID),as.character(final$wy_wydawnictwo_id)))
final$wy_wydawnictwo_id <- final$napr
final$wy_miejsce <- ifelse(is.na(final$wy_wydawnictwo_id),as.character(final$wy_miejsce),NA)
final$wy_nazwa <- ifelse(is.na(final$wy_wydawnictwo_id),as.character(final$wy_nazwa),NA)
final <- final %>%
select(2:34)
final$rekord_BN <- ifelse(final$rekord_BN=="","",paste("'",final$rekord_BN,sep = ""))
write.csv2(final, "C:/Users/Cezary/Desktop/2005_2008_podmiotowe_gotowe.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
#write.csv2(final, "C:/Users/cezar/Desktop/gotowe.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')#2 literatura przedmiotowa
data <- przedmiotowe
data <- data.frame(data, licznik = 1:length(data$id))
#1
za_uwagi <- data %>%
select(za_uwagi = id, licznik)
za_uwagi$za_uwagi <- str_replace_all(za_uwagi$za_uwagi," ","0")
za_uwagi$za_uwagi <- ifelse(nchar(za_uwagi$za_uwagi)==13,za_uwagi$za_uwagi, sprintf("%013d", as.integer(za_uwagi$za_uwagi)))
#2
marc_field_600 <- data %>%
select(id,licznik,X600)%>%
filter(X600!="")
marc_field_600$X600<-str_replace_all(marc_field_600$X600,"(^|\\|)","~\\1")
marc_field_600<- cSplit(marc_field_600,"X600",sep = "~",direction = "long")
marc_field_600<- marc_field_600%>%
filter(X600!="")
marc_field_600$X600<-str_remove_all(marc_field_600$X600,"^\\|")
marc_field_600 <- mutate(marc_field_600,
indicator = str_replace_all(marc_field_600$X600,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X600,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_600)[1]))
colnames(empty_table) <-subfield_list
marc_field_600<-cbind(marc_field_600,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field_600$X600 <- str_replace(marc_field_600$X600,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_600[,i+4] <- ifelse(grepl(subfield_list_char2[i],marc_field_600$X600),str_replace_all(gsub(string,"\\3",marc_field_600$X600),"\\${2}.", "~"),NA)
}
BN_temat <- marc_field_600 %>%
select(id,licznik,indicator,`$a`)
BN_temat_prosty <- data.frame(nazwa = str_replace_all(str_to_lower(BN_temat$`$a`), "\\W", ""))
BN_temat_prosty <- data.frame(BN_temat_prosty = BN_temat_prosty, licznik = BN_temat$licznik)
BN_PBL_temat <- merge(x = BN_temat_prosty, y = PBL_tworcy, by = 'nazwa', sort = FALSE, all.x = TRUE)
BN_PBL_temat <- BN_PBL_temat[order(BN_PBL_temat$licznik, BN_PBL_temat$TW_TWORCA_ID),]
BN_PBL_temat %$%
{ licznik == dplyr::lag(licznik, 1)} %>%
as.numeric() %>%
{.} -> BN_PBL_temat$same
BN_PBL_temat$same[1] <- 0
BN_PBL_temat <- BN_PBL_temat %>%
filter(same==0) %>%
select(-length(BN_PBL_temat))
BN_PBL_temat <- merge(x=BN_PBL_temat,y=redaktorzy_dzialow,by.x = "TW_DZ_DZIAL_ID",by.y = "DZ_DZIAL_ID", all.x = TRUE)
BN_PBL_temat_full <- BN_PBL_temat
test <- data %>%
select(licznik)
BN_PBL_temat_full <- merge(x=BN_PBL_temat_full,y=test,by = "licznik",all = TRUE)
rz_nazwa <- BN_PBL_temat_full %>%
select(licznik,TW_TWORCA_ID)
rz_nazwa <- mutate(rz_nazwa,
rz_nazwa = ifelse(is.na(rz_nazwa$TW_TWORCA_ID),"inne","książka o twórcy (przedmiotowa)"))
rz_nazwa <- rz_nazwa %>%
select(licznik,rz_nazwa)
#3
za_ro_rok <- data %>%
select(za_ro_rok = rok, licznik)
#4
za_type <- data.frame(licznik = 1:lengths(data), za_type = "KS")
#5
rz_rodzaj_id <- BN_PBL_temat_full %>%
select(licznik,TW_TWORCA_ID)
rz_rodzaj_id <- mutate(rz_rodzaj_id,
RZ_RODZAJ_ID = ifelse(is.na(rz_rodzaj_id$TW_TWORCA_ID),"",2))
rz_rodzaj_id <- rz_rodzaj_id %>%
select(licznik,RZ_RODZAJ_ID)
#6
marc_field <- data %>%
select(id,licznik,X245)#%>%
marc_field$X245<-str_remove_all(marc_field$X245,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X245 <- str_replace(marc_field$X245,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+4] <- ifelse(grepl(subfield_list_char2[i],marc_field$X245),str_replace_all(gsub(string,"\\3",marc_field$X245),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
BN_autor <- data %>%
select(X100, X245, X700, X501, licznik)
BN_autor <- mutate(BN_autor,
X245c = marc_field$`$c`)
autor1 <- BN_autor %>%
filter(X700=="")
autor1 <- mutate(autor1,
drugi_autor = "")
BN_autor <- cSplit(BN_autor,"X700",sep = "|",direction = "long")
BN_autor <- mutate(BN_autor,
czy_funkcja = grepl("\\$e|\\$b",BN_autor$X700),
czy_t = grepl("\\$t",BN_autor$X700))
BN_autor$drugi_autor <- ifelse(BN_autor$czy_funkcja==FALSE&BN_autor$czy_t==FALSE, as.character(BN_autor$X700),"")
BN_autor <- BN_autor %>%
select(-8,-7)
BN_wspoltworca <- BN_autor
BN_autor <- ddply(BN_autor, .(licznik, X100, X245, X245c, X501), summarize, X700 = paste(X700, collapse="|"), drugi_autor = paste(drugi_autor, collapse = "|"))
BN_autor$drugi_autor <- str_remove(BN_autor$drugi_autor,"^\\|+")
BN_autor$drugi_autor <- str_replace_all(BN_autor$drugi_autor,"\\|+","\\|")
BN_autor$drugi_autor[BN_autor$drugi_autor==""] <- NA
BN_autor <- BN_autor[order(BN_autor$licznik,BN_autor$drugi_autor),]
BN_autor <- BN_autor %>%
select(names(autor1))
BN_autor <- rbind(BN_autor,autor1)
BN_autor <- BN_autor[order(BN_autor$licznik),]
BN_autor$drugi_autor[is.na(BN_autor$drugi_autor)] <- ""
BN_autor$drugi_autor[is.na(BN_autor$X245c)] <- ""
BN_autor$X100 <- paste(BN_autor$X100,BN_autor$drugi_autor,sep = "|")
BN_autor$X100 <- str_remove(BN_autor$X100,"^\\|+")
BN_autor$X100 <- str_remove(BN_autor$X100,"\\|+$")
BN_autor <- BN_autor %>%
select(-length(BN_autor))
BN_autor <- cSplit(BN_autor,"X100",sep = "|",direction = "long")
marc_field <- BN_autor %>%
select(licznik,X100)#%>%
marc_field$X100<-str_remove_all(marc_field$X100,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_autor$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X100 <- str_replace(marc_field$X100,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X100),str_replace_all(gsub(string,"\\3",marc_field$X100),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
BN_autor <- mutate(BN_autor,
osoba_nazw = ifelse(grepl(",",marc_field$`$a`),str_replace_all(marc_field$`$a`,"(.*?)(, )(.*)","\\1"),as.character(marc_field$`$a`)),
osoba_imie = ifelse(grepl(",",marc_field$`$a`),str_replace_all(marc_field$`$a`,"(.*?)(, )(.*)","\\3"),""))
BN_autor <- mutate(BN_autor,
czy = str_detect(BN_autor$X245c,BN_autor$osoba_nazw)|str_detect(BN_autor$X245c,BN_autor$osoba_imie))
colnames(BN_autor)[6] <- "ZA_ADNOTACJE"
BN_autor$ZA_ADNOTACJE <- ifelse(is.na(BN_autor$ZA_ADNOTACJE),"",as.character(BN_autor$ZA_ADNOTACJE))
BN_autor$ZA_ADNOTACJE <- ifelse(BN_autor$czy==FALSE,paste("Uwaga, błąd w danych osobowych", BN_autor$ZA_ADNOTACJE, sep = ": "),"")
BN_autor <- BN_autor %>%
select(licznik,X100,ZA_ADNOTACJE)
marc_field <- BN_autor %>%
select(licznik,X100)
marc_field$X100<-str_remove_all(marc_field$X100,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_autor$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X100 <- str_replace(marc_field$X100,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X100),str_replace_all(gsub(string,"\\3",marc_field$X100),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
BN_autor <- BN_autor %>%
select(licznik,ZA_ADNOTACJE)
BN_autor <- mutate(BN_autor,
X100 = marc_field$`$a`)
BN_autor$X100 <- str_remove(BN_autor$X100,"(?<=[a-zęóąśłżźćń])(\\.$)")
BN_autor_long <- BN_autor
BN_autor <- ddply(BN_autor, .(licznik), summarize, X100 = paste(X100, collapse="|"), ZA_ADNOTACJE = paste(ZA_ADNOTACJE, collapse = ""))
BN_autor <- mutate(BN_autor,
nazwa = str_replace_all(str_to_lower(BN_autor$X100), "\\W", ""))
BN_autor_long <- mutate(BN_autor_long,
nazwa = str_replace_all(str_to_lower(BN_autor_long$X100), "\\W", ""))
BN_PBL_autor <- merge(x = BN_autor_long, y = PBL_autorzy, by = 'nazwa', sort = FALSE, all.x = TRUE)
BN_PBL_autor <- BN_PBL_autor[order(BN_PBL_autor$licznik, -BN_PBL_autor$AM_LICZBA_ZAPISOW),]
BN_PBL_autor %$%
{ licznik == dplyr::lag(licznik, 1) & X100 ==lag(X100,)} %>%
as.numeric() %>%
{.} -> BN_PBL_autor$same
BN_PBL_autor$same[1] <- 0
BN_PBL_autor <- BN_PBL_autor %>%
filter(same==0) %>%
select(-length(BN_PBL_autor))
BN_PBL_autor <- mutate(BN_PBL_autor,
am_nazwisko = ifelse(grepl(",",BN_PBL_autor$X100),str_replace_all(BN_PBL_autor$X100,"(.*?)(, )(.*)","\\1"),as.character(BN_PBL_autor$X100)),
am_imie = ifelse(grepl(",",BN_PBL_autor$X100),str_replace_all(BN_PBL_autor$X100,"(.*?)(, )(.*)","\\3"),""))
test <- data %>%
select(licznik)
BN_PBL_autor <- merge(x=BN_PBL_autor,y=test,by = "licznik",all = TRUE)
am_autor_id <- BN_PBL_autor %>%
select(licznik, AM_AUTOR_ID)
#7
aut_id_nazw <- BN_PBL_autor %>%
select(licznik,AM_AUTOR_ID,am_nazwisko)
am_nazwisko <- aut_id_nazw
am_nazwisko$am_nazwisko[!is.na(am_nazwisko$AM_AUTOR_ID)] <- NA
#8
aut_id_imie <- BN_PBL_autor %>%
select(licznik,AM_AUTOR_ID,am_imie)
am_imie <- aut_id_imie
am_imie$am_imie[!is.na(am_imie$AM_AUTOR_ID)] <- NA
#9
tw_tworca_id <- BN_PBL_temat_full %>%
select(licznik,TW_TWORCA_ID)
#10
tw_nazwisko <- data_frame(tw_nazwisko = NA, licznik = 1:lengths(za_uwagi))
#11
tw_imie <- data_frame(tw_imie = NA, licznik = 1:lengths(za_uwagi))
#12
dz_nazwa <- BN_PBL_temat_full %>%
select(licznik,DZ_NAZWA = DZ_NAZWA.x)
#13
dz_dzial_id <- BN_PBL_temat_full %>%
select(licznik,DZ_DZIAL_ID = TW_DZ_DZIAL_ID)
#14
marc_field <- data %>%
select(licznik,X245)#%>%
marc_field$X245<-str_remove_all(marc_field$X245,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X245 <- str_replace(marc_field$X245,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X245),str_replace_all(gsub(string,"\\3",marc_field$X245),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field$`$a`[is.na(marc_field$`$a`)] <- ""
marc_field$`$b`[is.na(marc_field$`$b`)] <- ""
za_tytul <- data.frame(tytul_bn = paste(marc_field$`$a`,marc_field$`$b`,sep = ""), licznik = marc_field$licznik)
za_tytul$tytul_bn <- str_remove(za_tytul$tytul_bn, "\\s+\\/$")
za_tytul <- mutate(za_tytul,
tytul = gsub("([a-zęóąśłżźćń])( )(:)( {0,1})(\\({0,1})([a-zęóąśłżźćńA-ZĘÓĄŚŁŻŹĆŃ])(.)","\\1.\\2\\U\\5\\6\\E\\7",perl = TRUE, za_tytul$tytul_bn))
za_tytul$tytul <- gsub("( )(:)( {0,1}[a-z])(.)","\\1\\U\\3\\E\\4",perl = TRUE, za_tytul$tytul)
za_tytul$tytul <- str_replace(za_tytul$tytul, "([^\\.])(\\.$)","\\1")
za_tytul <- za_tytul %>%
select(2,3)
#15
marc_field <- data %>%
select(licznik,X246)
marc_field$X246 <- str_replace_all(marc_field$X246,"(^|\\|)","~\\1")
marc_field <- cSplit(marc_field,"X246",sep = "~",direction = "long")
marc_field$X246<-str_remove_all(marc_field$X246,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X246,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X246,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X246 <- str_replace(marc_field$X246,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X246),str_replace_all(gsub(string,"\\3",marc_field$X246),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field$`$a`[is.na(marc_field$`$a`)] <- ""
marc_field$`$b`[is.na(marc_field$`$b`)] <- ""
za_tytul_oryginalu <- marc_field %>%
select(licznik,`$a`,`$b`,`$i`)
za_tytul_oryginalu <- mutate(za_tytul_oryginalu,
tytul = ifelse(grepl("yt\\.{0,1} oryg|yt\\.{0,1}oryg|yt\\.{0,1} org|ytu[lł] orygina",za_tytul_oryginalu$`$i`),paste(za_tytul_oryginalu$`$a`,za_tytul_oryginalu$`$b`,sep = ""),NA))
za_tytul_oryginalu <- za_tytul_oryginalu[order(za_tytul_oryginalu$licznik,za_tytul_oryginalu$tytul),]
za_tytul_oryginalu %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> za_tytul_oryginalu$same
za_tytul_oryginalu$same[1] <- 0
za_tytul_oryginalu <- za_tytul_oryginalu %>%
filter(same==0) %>%
select(-length(za_tytul_oryginalu))
za_tytul_oryginalu <- za_tytul_oryginalu %>%
select(1,5)
za_tytul_oryginalu$tytul <- gsub("([a-zęóąśłżźćń])( )(:)( {0,1})(\\({0,1})([a-zęóąśłżźćńA-ZĘÓĄŚŁŻŹĆŃ])(.)","\\1.\\2\\U\\5\\6\\E\\7",perl = TRUE, za_tytul_oryginalu$tytul)
za_tytul_oryginalu$tytul <- gsub("( )(:)( {0,1}[a-z])(.)","\\1\\U\\3\\E\\4",perl = TRUE, za_tytul_oryginalu$tytul)
za_tytul_oryginalu$tytul <- str_replace(za_tytul_oryginalu$tytul, "([^\\.])(\\.$)","\\1")
#16
marc_field <- data %>%
select(licznik,X041)
marc_field$X041<-str_remove_all(marc_field$X041,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X041,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X041,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X041 <- str_replace(marc_field$X041,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X041),str_replace_all(gsub(string,"\\3",marc_field$X041),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
za_jezyk_oryginalu <- marc_field %>%
select(licznik,jezyk_oryginalu = `$a`)
za_jezyk_oryginalu$jezyk_oryginalu <- str_replace_all(za_jezyk_oryginalu$jezyk_oryginalu,"\\$a","|")
#17
BN_wspoltworca$X700[BN_wspoltworca$drugi_autor!=""] <- NA
BN_wspoltworca <- BN_wspoltworca %>%
filter(!is.na(X700))
marc_field <- BN_wspoltworca %>%
select(licznik,X700)
marc_field$X700<-str_remove_all(marc_field$X700,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X700,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_wspoltworca$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X700 <- str_replace(marc_field$X700,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X700),str_replace_all(gsub(string,"\\3",marc_field$X700),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field$`$e` <- str_replace_all(marc_field$`$e`,"\\$e","|")
BN_wspoltworca <- marc_field %>%
select(licznik,osoba = `$a`,funkcja = `$e`) %>%
filter(!is.na(funkcja))
BN_wspoltworca <- mutate(BN_wspoltworca,
ws_prosty = str_replace_all(str_to_lower(BN_wspoltworca$osoba), "\\W", ""),
fu_prosta = str_replace_all(str_to_lower(BN_wspoltworca$funkcja), "\\W", ""))
BN_PBL_wspoltworcy <- merge(x = BN_wspoltworca, y = PBL_wspoltworcy, by.x = "ws_prosty", by.y = 'nazwa_prosta', sort = FALSE, all.x = TRUE)
BN_PBL_wspoltworcy <- merge(x = BN_PBL_wspoltworcy, y = PBL_funkcje, by.x = "fu_prosta",by.y = 'nazwa', sort = FALSE, all.x = TRUE)
BN_PBL_wspoltworcy <- BN_PBL_wspoltworcy[order(as.integer(as.character(BN_PBL_wspoltworcy$licznik))),]
BN_PBL_wspoltworcy$osoba <- str_remove(BN_PBL_wspoltworcy$osoba,"(?<=[a-zęóąśłżźćń])(\\.$)")
BN_PBL_wspoltworcy <- mutate(BN_PBL_wspoltworcy,
osoba_nazw = ifelse(grepl(",",BN_PBL_wspoltworcy$osoba),str_replace_all(BN_PBL_wspoltworcy$osoba,"(.*?)(, )(.*)","\\1"),as.character(BN_PBL_wspoltworcy$osoba)),
osoba_imie = ifelse(grepl(",",BN_PBL_wspoltworcy$osoba),str_replace_all(BN_PBL_wspoltworcy$osoba,"(.*?)(, )(.*)","\\3"),""))
test <- data %>%
select(licznik)
BN_PBL_wspoltworcy <- merge(x = test, y =BN_PBL_wspoltworcy,by = "licznik", all = TRUE)
BN_PBL_wspoltw <- BN_PBL_wspoltworcy %>%
select(licznik, OS_OSOBA_ID,osoba_nazw,osoba_imie,fo_symbol)
os_osoba_id <- BN_PBL_wspoltw %>%
select(licznik,OS_OSOBA_ID)
os_nazwisko <- BN_PBL_wspoltw
os_nazwisko$osoba_nazw[!is.na(os_nazwisko$OS_OSOBA_ID)] <- NA
os_nazwisko <- os_nazwisko %>%
select(licznik, os_nazwisko = osoba_nazw)
os_imie <- BN_PBL_wspoltw
os_imie$osoba_imie[!is.na(os_imie$OS_OSOBA_ID)] <- NA
os_imie <- os_imie %>%
select(licznik, os_imie = osoba_imie)
#22
za_opis_wspoltworcow <- BN_PBL_wspoltworcy %>%
select(licznik,funkcja,osoba_imie,osoba_nazw)
za_opis_wspoltworcow$funkcja <- ifelse(is.na(za_opis_wspoltworcow$funkcja),"",as.character(za_opis_wspoltworcow$funkcja))
za_opis_wspoltworcow$osoba_nazw <- ifelse(is.na(za_opis_wspoltworcow$osoba_nazw),"",as.character(za_opis_wspoltworcow$osoba_nazw))
za_opis_wspoltworcow$osoba_imie <- ifelse(is.na(za_opis_wspoltworcow$osoba_imie),"",as.character(za_opis_wspoltworcow$osoba_imie))
za_opis_wspoltworcow <- mutate(za_opis_wspoltworcow,
opis = paste(za_opis_wspoltworcow$funkcja,za_opis_wspoltworcow$osoba_imie, za_opis_wspoltworcow$osoba_nazw, sep = " "))
za_opis_wspoltworcow$opis <- str_replace_all(za_opis_wspoltworcow$opis," +"," ")
za_opis_wspoltworcow$opis[za_opis_wspoltworcow$opis==" "] <- ""
za_opis_wspoltworcow <- za_opis_wspoltworcow %>%
select(licznik,opis)
za_opis_wspoltworcow <- ddply(za_opis_wspoltworcow, .(licznik), summarize, opis = paste(opis, collapse=". "))
test <- data %>%
select(licznik)
za_opis_wspoltworcow <- merge(x=test,y=za_opis_wspoltworcow, by = "licznik", all = TRUE)
#23
marc_field <- data %>%
select(licznik,X250)
marc_field$X250<-str_replace_all(marc_field$X250,"(^|\\|)","~\\1")
marc_field<- cSplit(marc_field,"X250",sep = "~",direction = "long")
marc_field$X250<-str_remove_all(marc_field$X250,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X250,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X250,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X250 <- str_replace(marc_field$X250,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X250),str_replace_all(gsub(string,"\\3",marc_field$X250),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
za_wydanie <- marc_field %>%
select(licznik, wydanie = `$a`)
za_wydanie$wydanie <- str_remove(za_wydanie$wydanie," \\/$")
za_wydanie <- za_wydanie[order(za_wydanie$licznik,za_wydanie$wydanie),]
za_wydanie %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> za_wydanie$same
za_wydanie$same[1] <- 0
za_wydanie <- za_wydanie %>%
filter(same==0) %>%
select(-length(za_wydanie))
#24
marc_field <- data %>%
select(licznik,X245)
marc_field$X245<-str_replace_all(marc_field$X245,"(^|\\|)","~\\1")
marc_field<- cSplit(marc_field,"X245",sep = "~",direction = "long")
marc_field<- marc_field%>%
filter(X245!="")
marc_field$X245<-str_remove_all(marc_field$X245,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X245 <- str_replace(marc_field$X245,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X245),str_replace_all(gsub(string,"\\3",marc_field$X245),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
za_instytucja <- marc_field %>%
select(licznik, X245 = `$c`)
za_instytucja <- za_instytucja[order(za_instytucja$licznik,za_instytucja$X245),]
za_instytucja %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> za_instytucja$same
za_instytucja$same[1] <- 0
za_instytucja <- za_instytucja %>%
filter(same==0) %>%
select(-length(za_instytucja))
za_instytucja <- mutate(za_instytucja,
instytucja = ifelse(grepl("\\;",za_instytucja$X245),str_replace_all(za_instytucja$X245, "(.*?)(\\;(?!.*\\;))( )+(.*?$)","\\4"),""))
za_instytucja <- merge(x=za_instytucja,y=BN_PBL_wspoltworcy,by = "licznik",all.x = TRUE)
za_instytucja <- za_instytucja %>%
select(1,2,3,16,17)
za_instytucja <- mutate(za_instytucja,
czy_naz = str_detect(za_instytucja$X245,za_instytucja$osoba_nazw),
czy_im = str_detect(za_instytucja$X245,za_instytucja$osoba_imie))
test <- za_instytucja %>%
filter(is.na(czy_naz)&is.na(czy_im)) %>%
filter(instytucja!="") %>%
filter(!(grepl("^\\[[a-zęóąśłżźćń]|^[a-zęóąśłżźćń]",instytucja))) %>%
select(licznik,instytucja)
test$instytucja <- str_remove(test$instytucja,"(?<=[a-zęóąśłżźćń])(\\.$)")
za_instytucja <- test
test <- data %>%
select(licznik)
za_instytucja <- merge(x=za_instytucja,y=test,by = "licznik", all = TRUE)
#25
BN_wydawnictwo <- data.frame(X260 = data$X260, licznik = data$licznik)
BN_wydawnictwo$X260 <- str_replace_all(BN_wydawnictwo$X260,"s\\.n\\.", "b.w.")
BN_wydawnictwo$X260 <- str_replace_all(BN_wydawnictwo$X260,"s\\.l\\.", "b.m.")
BN_wydawnictwo$X260 <- str_replace_all(BN_wydawnictwo$X260,"S\\.l\\.", "b.m.")
BN_wydawnictwo$X260 <- str_replace_all(BN_wydawnictwo$X260,"\\$f", "$c")
BN_wydawnictwo$X260 <- str_remove(BN_wydawnictwo$X260,"^\\\\+")
#ręcznie wygenerować i naprawić błąd ":$a" - powinno być albo ;$a, albo :$b
test <- mutate(BN_wydawnictwo,
dwuk = str_detect(BN_wydawnictwo$X260,"\\:\\$a"))
test <- test %>%
filter(dwuk==TRUE)
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aWrocław :$bOficyna Wydawnicza Atut - Wrocławskie Wydawnictwo Oświatowe :$aDresden :$bNeisse Verlag,$c2007.'] <- '$aWrocław :$bOficyna Wydawnicza Atut - Wrocławskie Wydawnictwo Oświatowe ;$aDresden :$bNeisse Verlag,$c2007.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aLondon :$aNew York :$bRoutledge,$c2008.'] <- '$aLondon ;$aNew York :$bRoutledge,$c2008.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aLondon :$bRoutledge :$aNew York :$bTaylor & Francis,$c2008.'] <- '$aLondon :$bRoutledge ;$aNew York :$bTaylor & Francis,$c2008.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aBristol :$aNowa Ruda :$bWydawnictwo "Maria",$c2005.'] <- '$aBristol ;$aNowa Ruda :$bWydawnictwo "Maria",$c2005.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aKoszalin :$bMuzeum :$aWrocław :$bWydawnictwo Zet,$c2006.'] <- '$aKoszalin :$bMuzeum ;$aWrocław :$bWydawnictwo Zet,$c2006.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aWrocław :$aGdańsk :$bWydawnictwo Michael,$c2008.'] <- '$aWrocław ;$aGdańsk :$bWydawnictwo Michael,$c2008.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aSochaczew :$aPlecewice :$bStowarzyszenie Lokalna Grupa Działania Razem dla Rozwoju Regionu Sochaczewskiego,$c2008.'] <- '$aSochaczew ;$aPlecewice :$bStowarzyszenie Lokalna Grupa Działania Razem dla Rozwoju Regionu Sochaczewskiego,$c2008.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aWarszawa :$bDom Wydawniczy Tchu ;$a[Oświęcim] :$aPaństwowe Muzeum Auschwitz-Birkenau,$c2006.'] <- '$aWarszawa :$bDom Wydawniczy Tchu ;$a[Oświęcim] :$bPaństwowe Muzeum Auschwitz-Birkenau,$c2006.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aUppsala :$aKrosno :$b"Nowe Podkarpacie",$c2005.'] <- '$aUppsala ;$aKrosno :$b"Nowe Podkarpacie",$c2005.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aCzęstochowa :$bEdycja Świętego Pawła :$aKraków :$bWydawnictwo Karmelitów Bosych,$c2008.'] <- '$aCzęstochowa :$bEdycja Świętego Pawła ;$aKraków :$bWydawnictwo Karmelitów Bosych,$c2008.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aWarszawa :$bAxel Springer Polska :$aOżarów Mazowiecki :$bFirma Księgarska Jacek i Krzysztof Olesiejuk - Inwestycje,$c2008.'] <- '$aWarszawa :$bAxel Springer Polska ;$aOżarów Mazowiecki :$bFirma Księgarska Jacek i Krzysztof Olesiejuk - Inwestycje,$c2008.'
BN_wydawnictwo <- mutate(BN_wydawnictwo,
rok_wydania = str_extract_all(BN_wydawnictwo$X260, "(?<=\\$c).*(?=\\$e)|(?<=\\$c).*"),
bez_roku = str_replace_all(BN_wydawnictwo$X260, ".\\$c.*", ""))
BN_wydawnictwo$bez_roku <- str_replace_all(BN_wydawnictwo$bez_roku, ";\\$b", ":$b")
BN_wydawnictwo <- mutate(BN_wydawnictwo,
ile_wydawnictw = str_count(BN_wydawnictwo$bez_roku, "\\$b"),
ile_miejsc = str_count(BN_wydawnictwo$bez_roku, "\\$a"),
kolejnosc = str_remove(str_replace_all(as.character(str_extract_all(BN_wydawnictwo$bez_roku, "\\$.")), "[^a-z]", ""),"^c"),
podzielone = str_replace_all(BN_wydawnictwo$bez_roku,"(\\$.)","|\\1~"))
BN_wydawnictwo$podzielone <- str_remove(BN_wydawnictwo$podzielone,"^\\|")
BN_wydawnictwo$kolejnosc <- str_replace_all(BN_wydawnictwo$kolejnosc,"(.)","\\1|")
BN_wydawnictwo$kolejnosc <- str_remove(BN_wydawnictwo$kolejnosc,"\\|$")
BN_wydawnictwo <- cSplit(BN_wydawnictwo,c("kolejnosc","podzielone"), sep = "|", direction = "long")
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == dplyr::lag(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same
BN_wydawnictwo$same[1] <- 0
BN_wydawnictwo$rok_wydania <- as.character(BN_wydawnictwo$rok_wydania)
BN_wydawnictwo$lp <- 1:lengths(BN_wydawnictwo)
pierwsze <- BN_wydawnictwo %>%
filter(same==0)
drugie <- BN_wydawnictwo %>%
filter(same==1)
drugie <- ddply(drugie, .(X260, licznik, rok_wydania, bez_roku, ile_wydawnictw, ile_miejsc, kolejnosc, same), summarize, podzielone = paste(podzielone, collapse=""), lp = paste(lp, collapse="|"))
BN_wydawnictwo <- rbind(pierwsze,drugie)
BN_wydawnictwo$lp <- str_replace(BN_wydawnictwo$lp,"(.*?)(\\|)(.*$)","\\1")
BN_wydawnictwo$lp <- as.integer(BN_wydawnictwo$lp)
BN_wydawnictwo <- BN_wydawnictwo[order(BN_wydawnictwo$licznik,BN_wydawnictwo$lp),]
BN_wydawnictwo <- BN_wydawnictwo %>%
select(-lp)
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == "b" & kolejnosc == dplyr::lead(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same2
BN_wydawnictwo$same2[length(BN_wydawnictwo$podzielone)] <- 0
BN_wydawnictwo$podzielone2 <- lag(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == "a" & kolejnosc == dplyr::lag(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same_a
BN_wydawnictwo$same_a[1] <- 0
BN_wydawnictwo$podzielone3 <- lead(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo$same_a2 <- lead(BN_wydawnictwo$same_a,n=1)
BN_wydawnictwo$podzielone <- ifelse(BN_wydawnictwo$same_a2==1,paste(BN_wydawnictwo$podzielone,BN_wydawnictwo$podzielone3,sep = ""),as.character(BN_wydawnictwo$podzielone))
BN_wydawnictwo <- BN_wydawnictwo %>%
filter(same_a==0)
BN_wydawnictwo$podzielone2 <- lag(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo$podzielone <- ifelse(BN_wydawnictwo$same==0&BN_wydawnictwo$same2==1,paste(BN_wydawnictwo$podzielone,BN_wydawnictwo$podzielone2,sep = "|"),as.character(BN_wydawnictwo$podzielone))
BN_wydawnictwo <- cSplit(BN_wydawnictwo,"podzielone", sep = "|", direction = "long")
BN_wydawnictwo$bez_roku <- BN_wydawnictwo$podzielone
BN_wydawnictwo <- BN_wydawnictwo %>%
select(licznik,rok_wydania,X260,bez_roku)
BN_wydawnictwo$rok_wydania <- as.character(BN_wydawnictwo$rok_wydania)
BN_wydawnictwo <- ddply(BN_wydawnictwo, .(licznik, rok_wydania, X260), summarize, bez_roku = paste(bez_roku, collapse=""))
BN_wydawnictwo$bez_roku <- str_remove_all(BN_wydawnictwo$bez_roku,"\\~")
#drugi raz
BN_wydawnictwo$bez_roku <- str_replace_all(BN_wydawnictwo$bez_roku, ";\\$b", ":$b")
BN_wydawnictwo <- mutate(BN_wydawnictwo,
ile_wydawnictw = str_count(BN_wydawnictwo$bez_roku, "\\$b"),
ile_miejsc = str_count(BN_wydawnictwo$bez_roku, "\\$a"),
kolejnosc = str_remove(str_replace_all(as.character(str_extract_all(BN_wydawnictwo$bez_roku, "\\$.")), "[^a-z]", ""),"^c"),
podzielone = str_replace_all(BN_wydawnictwo$bez_roku,"(\\$.)","|\\1~"))
BN_wydawnictwo$podzielone <- str_remove(BN_wydawnictwo$podzielone,"^\\|")
BN_wydawnictwo$kolejnosc <- str_replace_all(BN_wydawnictwo$kolejnosc,"(.)","\\1|")
BN_wydawnictwo$kolejnosc <- str_remove(BN_wydawnictwo$kolejnosc,"\\|$")
BN_wydawnictwo <- cSplit(BN_wydawnictwo,c("kolejnosc","podzielone"), sep = "|", direction = "long")
BN_wydawnictwo <- BN_wydawnictwo %>%
filter(!is.na(podzielone))
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == dplyr::lag(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same
BN_wydawnictwo$same[1] <- 0
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == "b" & kolejnosc == dplyr::lead(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same2
BN_wydawnictwo$same2[length(BN_wydawnictwo$podzielone)] <- 0
BN_wydawnictwo$podzielone2 <- lag(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == "a" & kolejnosc == dplyr::lag(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same_a
BN_wydawnictwo$same_a[1] <- 0
BN_wydawnictwo$podzielone3 <- lead(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo$same_a2 <- lead(BN_wydawnictwo$same_a,n=1)
BN_wydawnictwo$podzielone <- ifelse(BN_wydawnictwo$same_a2==1,paste(BN_wydawnictwo$podzielone,BN_wydawnictwo$podzielone3,sep = ""),as.character(BN_wydawnictwo$podzielone))
BN_wydawnictwo <- BN_wydawnictwo %>%
filter(same_a==0)
BN_wydawnictwo$podzielone2 <- lag(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo$podzielone <- ifelse(BN_wydawnictwo$same==0&BN_wydawnictwo$same2==1,paste(BN_wydawnictwo$podzielone,BN_wydawnictwo$podzielone2,sep = "|"),as.character(BN_wydawnictwo$podzielone))
BN_wydawnictwo <- cSplit(BN_wydawnictwo,"podzielone", sep = "|", direction = "long")
BN_wydawnictwo$bez_roku <- BN_wydawnictwo$podzielone
BN_wydawnictwo <- BN_wydawnictwo %>%
select(licznik,rok_wydania,X260,bez_roku)
BN_wydawnictwo$rok_wydania <- as.character(BN_wydawnictwo$rok_wydania)
BN_wydawnictwo$czy <- str_detect(BN_wydawnictwo$bez_roku,"\\$a")
BN_wydawnictwo$bez_roku <- ifelse(BN_wydawnictwo$czy==TRUE,paste("|",BN_wydawnictwo$bez_roku,sep = ""),as.character(BN_wydawnictwo$bez_roku))
BN_wydawnictwo <- ddply(BN_wydawnictwo, .(licznik, rok_wydania, X260), summarize, bez_roku = paste(bez_roku, collapse=""))
BN_wydawnictwo$bez_roku <- str_remove_all(BN_wydawnictwo$bez_roku,"\\~")
BN_wydawnictwo$bez_roku <- str_remove_all(BN_wydawnictwo$bez_roku,"^\\|")
BN_wydawnictwo <- cSplit(BN_wydawnictwo, "bez_roku", sep = "|", direction = "long")
BN_wydawnictwo <- mutate(BN_wydawnictwo,
wydawnictwo = str_extract_all(BN_wydawnictwo$bez_roku, "(?<=\\$b)(.*)"),
miejsce_wydania = str_replace_all(str_extract_all(BN_wydawnictwo$bez_roku, "(?<=\\$a)(.*)(?= {0,1}: {0,1}\\$b)|(?<=\\$a)(.*)($)")," ;\\$a", ", "),
nazwa_prosta = str_to_lower(str_replace_all(str_replace_all(unlist(BN_wydawnictwo$bez_roku), "\\$\\w", ""), "\\W", "")),
lp = 1:lengths(BN_wydawnictwo))
BN_wydawnictwo$wydawnictwo <- str_remove(BN_wydawnictwo$wydawnictwo,"\\s+\\;$")
BN_wydawnictwo$wydawnictwo <- str_remove(BN_wydawnictwo$wydawnictwo,"\\s+\\:$")
BN_wydawnictwo$miejsce_wydania <- str_remove(BN_wydawnictwo$miejsce_wydania," \\[{0,10}etc\\.{0,10}\\]\\s{0,10}$")
BN_wydawnictwo$miejsce_wydania <- str_remove(BN_wydawnictwo$miejsce_wydania," \\[{0,10}etc\\.{0,10}\\s{0,10}$")
BN_wydawnictwo$miejsce_wydania <- ifelse(grepl("\\[",BN_wydawnictwo$miejsce_wydania)&!grepl("\\]",BN_wydawnictwo$miejsce_wydania),str_remove(BN_wydawnictwo$miejsce_wydania,"\\["),as.character(BN_wydawnictwo$miejsce_wydania))
BN_wydawnictwo$wydawnictwo <- ifelse(grepl("\\]",BN_wydawnictwo$wydawnictwo)&!grepl("\\[",BN_wydawnictwo$wydawnictwo),str_remove(BN_wydawnictwo$wydawnictwo,"\\]"),as.character(BN_wydawnictwo$wydawnictwo))
BN_PBL_wydawnictwa <- merge( x = BN_wydawnictwo, y = PBL_wydawnictwa, by = 'nazwa_prosta', sort = FALSE, all.x = TRUE, allow.cartesian = TRUE)
BN_PBL_wydawnictwa$to_samo <- BN_PBL_wydawnictwa$wydawnictwo==BN_PBL_wydawnictwa$WY_NAZWA
BN_PBL_wydawnictwa <- BN_PBL_wydawnictwa[order(as.integer(as.character(BN_PBL_wydawnictwa$licznik)), -BN_PBL_wydawnictwa$to_samo, -BN_PBL_wydawnictwa$WY_LICZBA_ZAPISOW),]
BN_PBL_wydawnictwa %$%
{ as.integer(licznik) == dplyr::lag(as.integer(licznik), 1) & nazwa_prosta==lag(nazwa_prosta)} %>%
as.numeric() %>%
{.} -> BN_PBL_wydawnictwa$same
BN_PBL_wydawnictwa$same[1] <- 0
BN_PBL_wydawnictwa <- BN_PBL_wydawnictwa %>%
filter(same==0)
wy_wydawnictwo_id <- BN_PBL_wydawnictwa %>%
select(licznik, WY_WYDAWNICTWO_ID)
wy_wydawnictwo_id <- wy_wydawnictwo_id[order(as.integer(as.character(wy_wydawnictwo_id$licznik))),]
#26
wy_miejsce <- BN_PBL_wydawnictwa %>%
select(licznik, WY_WYDAWNICTWO_ID,miejsce_wydania)
wy_miejsce$miejsce_wydania <- ifelse(is.na(wy_miejsce$WY_WYDAWNICTWO_ID),as.character(wy_miejsce$miejsce_wydania),"")
#27
wy_nazwa <- BN_PBL_wydawnictwa %>%
select(licznik, WY_WYDAWNICTWO_ID,wydawnictwo)
wy_nazwa$wydawnictwo <- ifelse(is.na(wy_miejsce$WY_WYDAWNICTWO_ID),as.character(wy_nazwa$wydawnictwo),"")
#28
za_rok_wydania <- BN_PBL_wydawnictwa %>%
select(licznik, rok_wydania) %>%
unique()
za_rok_wydania$rok_wydania <- str_replace_all(za_rok_wydania$rok_wydania, "(.*)(\\.)", "\\1")
za_rok_wydania$dobry_rok <- ifelse(nchar(as.character(za_rok_wydania$rok_wydania))==4,as.character(za_rok_wydania$rok_wydania),NA)
za_rok_wydania$do_opisu <- ifelse(is.na(za_rok_wydania$dobry_rok),paste("[",str_extract(za_rok_wydania$rok_wydania,"\\d{4}"),"]",sep = ""),"")
test <- data %>%
select(licznik)
za_rok_wydania$licznik <- as.integer(za_rok_wydania$licznik)
za_rok_wydania <- merge(x=za_rok_wydania,y=test,by = "licznik",all = TRUE)
#29
marc_field300 <- data %>%
select(licznik,X300)
marc_field300$X300<-str_remove_all(marc_field300$X300,"^\\|")
marc_field300 <- mutate(marc_field300,
indicator = str_replace_all(marc_field300$X300,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X300,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field300)[1]))
colnames(empty_table) <-subfield_list
marc_field300<-cbind(marc_field300,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field300$X300 <- str_replace(marc_field300$X300,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field300[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field300$X300),str_replace_all(gsub(string,"\\3",marc_field300$X300),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field300$`$a` <- str_remove(marc_field300$`$a`," \\;+$| \\:+$")
marc_field300$`$b` <- str_remove(marc_field300$`$b`," \\;+$| \\:+$")
marc_field300$`$a`[is.na(marc_field300$`$a`)] <- ""
marc_field300$`$b`[is.na(marc_field300$`$b`)] <- ""
marc_field500 <- data %>%
select(licznik,X500)
marc_field500$X500<-str_remove_all(marc_field500$X500,"^\\|")
marc_field500 <- mutate(marc_field500,
indicator = str_replace_all(marc_field500$X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field500)[1]))
colnames(empty_table) <-subfield_list
marc_field500<-cbind(marc_field500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field500$X500 <- str_replace(marc_field500$X500,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field500$X500),str_replace_all(gsub(string,"\\3",marc_field500$X500),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field546 <- data %>%
select(licznik,X546)
marc_field546$X546<-str_remove_all(marc_field546$X546,"^\\|")
marc_field546 <- mutate(marc_field546,
indicator = str_replace_all(marc_field546$X546,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X546,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field546)[1]))
colnames(empty_table) <-subfield_list
marc_field546<-cbind(marc_field546,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field546$X546 <- str_replace(marc_field546$X546,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field546[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field546$X546),str_replace_all(gsub(string,"\\3",marc_field546$X546),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field500$`$a` <- str_remove(marc_field500$`$a`," \\;+$| \\:+$")
marc_field546$`$a` <- str_remove(marc_field546$`$a`," \\;+$| \\:+$")
marc_field500$`$a`[is.na(marc_field500$`$a`)] <- ""
marc_field546$`$a`[is.na(marc_field546$`$a`)] <- ""
za_opis_ks <- data.frame(opis_ks = paste(za_rok_wydania$do_opisu, marc_field300$`$a`,marc_field300$`$b`,marc_field500$`$a`, marc_field546$`$a`,sep = ", "), licznik = as.integer(za_rok_wydania$licznik))
za_opis_ks$opis_ks <- str_replace(za_opis_ks$opis_ks,", , ", ", ")
za_opis_ks$opis_ks <- str_replace(za_opis_ks$opis_ks,", , ", ", ")
za_opis_ks$opis_ks <- str_remove_all(za_opis_ks$opis_ks, "^, |, $")
#30
marc_field490 <- data %>%
select(licznik,X490)
marc_field490 <- cSplit(marc_field490,"X490",sep = "|",direction = "long")
marc_field490 <- marc_field490%>%
filter(X490!="")
marc_field490$X490<-str_remove_all(marc_field490$X490,"^\\|")
marc_field490 <- mutate(marc_field490,
indicator = str_replace_all(marc_field490$X490,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X490,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field490)[1]))
colnames(empty_table) <-subfield_list
marc_field490<-cbind(marc_field490,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field490$X490 <- str_replace(marc_field490$X490,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field490[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field490$X490),str_replace_all(gsub(string,"\\3",marc_field490$X490),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field490$`$a` <- str_remove(marc_field490$`$a`," \\;+$| \\:+$")
marc_field490$`$a`[is.na(marc_field490$`$a`)] <- ""
marc_field490$`$v`[is.na(marc_field490$`$v`)] <- ""
marc_field490$seria <- str_remove(paste("(",marc_field490$`$a`,", ",marc_field490$`$v`,")",sep = ""),", (?=\\)$)")
marc_field490 <- marc_field490 %>%
select(licznik,seria)
marc_field490 <- ddply(marc_field490, .(licznik), summarize, seria = paste(seria, collapse=" "))
test <- data %>%
select(licznik)
za_seria_wydawnicza <- merge(x = test, y = marc_field490, by = "licznik", all = TRUE)
#31
za_tomy <-data.frame(licznik=1:lengths(data), za_tomy = NA)
#32
pracownik <- data %>%
select(licznik,pracownik)
#33 adnotacje
za_adnotacje <- data.frame(cbind(BN_PBL_autor$ZA_ADNOTACJE,data$licznik, data$X505))
colnames(za_adnotacje) <- c("adnotacje","licznik","X505")
za_adnotacje$adnotacje <- ifelse(is.na(za_adnotacje$adnotacje),"",as.character(za_adnotacje$adnotacje))
za_adnotacje$X505 <- ifelse(is.na(za_adnotacje$X505),"",as.character(za_adnotacje$X505))
za_adnotacje$adnotacje <- paste(za_adnotacje$adnotacje,za_adnotacje$X505,sep = "|")
za_adnotacje$adnotacje[za_adnotacje$adnotacje=="|"] <- ""
za_adnotacje <- za_adnotacje %>%
select(1,2) %>%
unique()
za_adnotacje$licznik <- as.integer(za_adnotacje$licznik)
za_adnotacje$adnotacje <- ifelse(za_adnotacje$adnotacje=="",NA,as.character(za_adnotacje$adnotacje))
za_adnotacje <- za_adnotacje[order(za_adnotacje$licznik, za_adnotacje$adnotacje),]
za_adnotacje %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> za_adnotacje$same
za_adnotacje$same[1] <- 0
za_adnotacje$licznik[za_adnotacje$same==1]
za_adnotacje <- za_adnotacje %>%
filter(same==0) %>%
select(-length(za_adnotacje))
za_adnotacje$adnotacje <- ifelse(is.na(za_adnotacje$adnotacje),"",as.character(za_adnotacje$adnotacje))
#łączenie
#wyrównanie liczby wierszy
autorzy <- data.frame(cbind(am_autor_id$licznik,am_autor_id$AM_AUTOR_ID,am_nazwisko$am_nazwisko,am_imie$am_imie))
colnames(autorzy) <- c("licznik", "AM_AUTOR_ID", "AM_NAZWISKO", "AM_IMIE")
autorzy$AM_AUTOR_ID <- ifelse(is.na(autorzy$AM_AUTOR_ID),"",as.character(autorzy$AM_AUTOR_ID))
autorzy$AM_NAZWISKO <- ifelse(is.na(autorzy$AM_NAZWISKO),"",as.character(autorzy$AM_NAZWISKO))
autorzy$AM_IMIE <- ifelse(is.na(autorzy$AM_IMIE),"",as.character(autorzy$AM_IMIE))
autorzy <- ddply(autorzy, .(licznik), summarize, AM_AUTOR_ID = paste(AM_AUTOR_ID, collapse="|"), AM_NAZWISKO = paste(AM_NAZWISKO, collapse="|"), AM_IMIE = paste(AM_IMIE, collapse="|"))
autorzy <- autorzy[order(as.integer(as.character(autorzy$licznik))),]
wspoltworcy <- data.frame(cbind(os_osoba_id$licznik, os_osoba_id$OS_OSOBA_ID,os_nazwisko$os_nazwisko,os_imie$os_imie,BN_PBL_wspoltw$fo_symbol))
colnames(wspoltworcy) <- c("licznik", "OS_OSOBA_ID", "OS_NAZWISKO", "OS_IMIE", "FO_SYMBOL")
wspoltworcy$OS_OSOBA_ID <- ifelse(is.na(wspoltworcy$OS_OSOBA_ID),"",as.character(wspoltworcy$OS_OSOBA_ID))
wspoltworcy$OS_NAZWISKO <- ifelse(is.na(wspoltworcy$OS_NAZWISKO),"",as.character(wspoltworcy$OS_NAZWISKO))
wspoltworcy$OS_IMIE <- ifelse(is.na(wspoltworcy$OS_IMIE),"",as.character(wspoltworcy$OS_IMIE))
wspoltworcy$FO_SYMBOL <- ifelse(is.na(wspoltworcy$FO_SYMBOL),"",as.character(wspoltworcy$FO_SYMBOL))
wspoltworcy <- ddply(wspoltworcy, .(licznik), summarize, OS_OSOBA_ID = paste(OS_OSOBA_ID, collapse="|"), OS_NAZWISKO = paste(OS_NAZWISKO, collapse="|"), OS_IMIE = paste(OS_IMIE, collapse="|"), FO_SYMBOL = paste(FO_SYMBOL, collapse="|"))
wspoltworcy <- wspoltworcy[order(as.integer(as.character(wspoltworcy$licznik))),]
wydawnictwa <- data.frame(cbind(wy_wydawnictwo_id$licznik, wy_wydawnictwo_id$WY_WYDAWNICTWO_ID,wy_nazwa$wydawnictwo,wy_miejsce$miejsce_wydania))
colnames(wydawnictwa) <- c("licznik", "WY_WYDAWNICTWO_ID", "WY_NAZWA", "WY_MIEJSCE")
wydawnictwa$WY_WYDAWNICTWO_ID <- ifelse(is.na(wydawnictwa$WY_WYDAWNICTWO_ID),"",as.character(wydawnictwa$WY_WYDAWNICTWO_ID))
wydawnictwa$WY_NAZWA <- ifelse(is.na(wydawnictwa$WY_NAZWA),"",as.character(wydawnictwa$WY_NAZWA))
wydawnictwa$WY_MIEJSCE <- ifelse(is.na(wydawnictwa$WY_MIEJSCE),"",as.character(wydawnictwa$WY_MIEJSCE))
wydawnictwa <- ddply(wydawnictwa, .(licznik), summarize, WY_WYDAWNICTWO_ID = paste(WY_WYDAWNICTWO_ID, collapse="|"), WY_NAZWA = paste(WY_NAZWA, collapse="|"), WY_MIEJSCE = paste(WY_MIEJSCE, collapse="|"))
test <- data %>%
select(licznik)
wydawnictwa <- merge(x=wydawnictwa,y=test,by = "licznik",all = TRUE)
wydawnictwa <- wydawnictwa[order(as.integer(as.character(wydawnictwa$licznik))),]
polaczone <- data.frame(
licznik = za_uwagi$licznik,
rekord_BN = za_uwagi$za_uwagi,
rz_nazwa = rz_nazwa$rz_nazwa,
za_ro_rok = za_ro_rok$za_ro_rok,
za_type = za_type$za_type,
rz_rodzaj_id = rz_rodzaj_id$RZ_RODZAJ_ID,
DZ_NAZWA = dz_nazwa$DZ_NAZWA,
DZ_DZIAL_ID = dz_dzial_id$DZ_DZIAL_ID,
tw_tworca_id = tw_tworca_id$TW_TWORCA_ID,
am_autor_id = autorzy$AM_AUTOR_ID,
am_nazwisko = autorzy$AM_NAZWISKO,
am_imie = autorzy$AM_IMIE,
za_tytul = za_tytul$tytul,
za_tytul_oryginalu = za_tytul_oryginalu$tytul,
za_jezyk_oryginalu = za_jezyk_oryginalu$jezyk_oryginalu,
os_osoba_id = wspoltworcy$OS_OSOBA_ID,
os_nazwisko = wspoltworcy$OS_NAZWISKO,
os_imie = wspoltworcy$OS_IMIE,
fo_symbol = wspoltworcy$FO_SYMBOL,
za_opis_wspoltworcow = za_opis_wspoltworcow$opis,
za_wydanie = za_wydanie$wydanie,
za_tomy = za_tomy$za_tomy,
za_instytucja = za_instytucja$instytucja,
wy_wydawnictwo_id = wydawnictwa$WY_WYDAWNICTWO_ID,
wy_miejsce = wydawnictwa$WY_MIEJSCE,
wy_nazwa = wydawnictwa$WY_NAZWA,
za_rok_wydania = za_rok_wydania$dobry_rok,
za_opis_fizyczny_ksiazki = za_opis_ks$opis_ks,
za_seria_wydawnicza = za_seria_wydawnicza$seria,
tw_nazwisko = tw_nazwisko$tw_nazwisko,
tw_imie = tw_imie$tw_imie,
pracownik = pracownik$pracownik,
za_adnotacje = za_adnotacje$adnotacje
)
out <- cSplit(polaczone, c("am_autor_id", "am_nazwisko", "am_imie","os_osoba_id","os_nazwisko", "os_imie", "fo_symbol","wy_wydawnictwo_id","wy_miejsce","wy_nazwa"),sep = "|",direction = "long")
out <- out %>%
unique()
out$licznik <- ifelse(is.na(out$licznik),'',as.character(out$licznik))
out$rekord_BN <- ifelse(is.na(out$rekord_BN),'',as.character(out$rekord_BN))
out$rz_nazwa <- ifelse(is.na(out$rz_nazwa),'',as.character(out$rz_nazwa))
out$za_ro_rok <- ifelse(is.na(out$za_ro_rok),'',as.character(out$za_ro_rok))
out$za_type <- ifelse(is.na(out$za_type),'',as.character(out$za_type))
out$rz_rodzaj_id <- ifelse(is.na(out$rz_rodzaj_id),'',as.character(out$rz_rodzaj_id))
out$DZ_NAZWA <- ifelse(is.na(out$DZ_NAZWA),'',as.character(out$DZ_NAZWA))
out$DZ_DZIAL_ID <- ifelse(is.na(out$DZ_DZIAL_ID),'',as.character(out$DZ_DZIAL_ID))
out$tw_tworca_id <- ifelse(is.na(out$tw_tworca_id),'',as.character(out$tw_tworca_id))
out$am_autor_id <- ifelse(is.na(out$am_autor_id),'',as.character(out$am_autor_id))
out$am_nazwisko <- ifelse(is.na(out$am_nazwisko),'',as.character(out$am_nazwisko))
out$am_imie <- ifelse(is.na(out$am_imie),'',as.character(out$am_imie))
out$za_tytul <- ifelse(is.na(out$za_tytul),'',as.character(out$za_tytul))
out$za_tytul_oryginalu <- ifelse(is.na(out$za_tytul_oryginalu),'',as.character(out$za_tytul_oryginalu))
out$za_jezyk_oryginalu <- ifelse(is.na(out$za_jezyk_oryginalu),'',as.character(out$za_jezyk_oryginalu))
out$os_osoba_id <- ifelse(is.na(out$os_osoba_id),'',as.character(out$os_osoba_id))
out$os_nazwisko <- ifelse(is.na(out$os_nazwisko),'',as.character(out$os_nazwisko))
out$os_imie <- ifelse(is.na(out$os_imie),'',as.character(out$os_imie))
out$fo_symbol <- ifelse(is.na(out$fo_symbol),'',as.character(out$fo_symbol))
out$za_opis_wspoltworcow <- ifelse(is.na(out$za_opis_wspoltworcow),'',as.character(out$za_opis_wspoltworcow))
out$za_wydanie <- ifelse(is.na(out$za_wydanie),'',as.character(out$za_wydanie))
out$za_tomy <- ifelse(is.na(out$za_tomy),'',as.character(out$za_tomy))
out$za_instytucja <- ifelse(is.na(out$za_instytucja),'',as.character(out$za_instytucja))
out$wy_wydawnictwo_id <- ifelse(is.na(out$wy_wydawnictwo_id),'',as.character(out$wy_wydawnictwo_id))
out$wy_miejsce <- ifelse(is.na(out$wy_miejsce),'',as.character(out$wy_miejsce))
out$wy_nazwa <- ifelse(is.na(out$wy_nazwa),'',as.character(out$wy_nazwa))
out$za_rok_wydania <- ifelse(is.na(out$za_rok_wydania),'',as.character(out$za_rok_wydania))
out$za_opis_fizyczny_ksiazki <- ifelse(is.na(out$za_opis_fizyczny_ksiazki),'',as.character(out$za_opis_fizyczny_ksiazki))
out$za_seria_wydawnicza <- ifelse(is.na(out$za_seria_wydawnicza),'',as.character(out$za_seria_wydawnicza))
out$tw_nazwisko <- ifelse(is.na(out$tw_nazwisko),'',as.character(out$tw_nazwisko))
out$tw_imie <- ifelse(is.na(out$tw_imie),'',as.character(out$tw_imie))
out$pracownik <- ifelse(is.na(out$pracownik),'',as.character(out$pracownik))
out$za_adnotacje <- ifelse(is.na(out$za_adnotacje),'',as.character(out$za_adnotacje))
out %$%
{ licznik == dplyr::lag(licznik, 1) & rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,)} %>%
as.numeric() %>%
{.} -> out$same
out$same[1] <- 0
out$dzielone <- paste(out$am_autor_id,out$am_nazwisko,out$am_imie,out$os_osoba_id,out$os_nazwisko,out$os_imie,out$fo_symbol,out$wy_wydawnictwo_id,out$wy_miejsce,out$wy_nazwa,sep = "")
out <- out %>%
filter(!(same==1&dzielone=="")) %>%
select(1:33)
out %$%
{ licznik == dplyr::lag(licznik, 1) & rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,)} %>%
as.numeric() %>%
{.} -> out$same
out$rekord_BN[out$same == 1] <- ""
out$rz_nazwa[out$same == 1] <- ""
out$za_ro_rok[out$same == 1] <- ""
out$za_type[out$same == 1] <- ""
out$rz_rodzaj_id[out$same == 1] <- ""
out$DZ_NAZWA[out$same == 1] <- ""
out$DZ_DZIAL_ID[out$same == 1] <- ""
out$tw_tworca_id[out$same == 1] <- ""
out$za_tytul[out$same == 1] <- ""
out$za_tytul_oryginalu[out$same == 1] <- ""
out$za_jezyk_oryginalu[out$same == 1] <- ""
out$za_opis_wspoltworcow[out$same == 1] <- ""
out$za_wydanie[out$same == 1] <- ""
out$za_tomy[out$same == 1] <- ""
out$za_instytucja[out$same == 1] <- ""
out$za_rok_wydania[out$same == 1] <- ""
out$za_opis_fizyczny_ksiazki[out$same == 1] <- ""
out$za_seria_wydawnicza[out$same == 1] <- ""
out$tw_nazwisko[out$same == 1] <- ""
out$tw_imie[out$same == 1] <- ""
out$pracownik[out$same == 1] <- ""
out$za_adnotacje[out$same == 1] <- ""
out <- out %>%
select(1:33)
#write.csv2(out, "C:/Users/Cezary/Desktop/2005-2008_podmiotowa_do_importu.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
#out <- read.csv2("C:/Users/Cezary/Desktop/2005-2008_podmiotowa_do_importu.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
#out$rekord_BN <- ifelse(is.na(out$rekord_BN),"", as.character(out$rekord_BN))
#out$rekord_BN <- ifelse(nchar(out$rekord_BN)==13,out$rekord_BN, sprintf("%013d", as.integer(out$rekord_BN)))
#out$rekord_BN[out$rekord_BN=="
przedmiotowe_small <- data %>%
select(licznik, X041, X080, X100, X245, X246, X250, X260, X300, X380, X490, X500, X501, X500, X546, X600, X650, X655, X700, rok, id)
write.csv2(przedmiotowe_small, "C:/Users/uzytkownik/Desktop/2005-2008_przedmiotowa_small.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
#wydawnictwa
nowe_wydawnictwo <- out %>%
select(licznik, wy_miejsce, wy_nazwa)
nowe_wydawnictwo <- nowe_wydawnictwo %>%
filter(wy_miejsce!="")
nowe_wydawnictwo <- nowe_wydawnictwo[order(nowe_wydawnictwo$wy_nazwa, nowe_wydawnictwo$wy_miejsce, as.integer(as.character(nowe_wydawnictwo$licznik))),]
nowe_wydawnictwo %$%
{ wy_nazwa==lag(wy_nazwa,1) & wy_miejsce==lag(wy_miejsce,)} %>%
as.numeric() %>%
{.} -> nowe_wydawnictwo$same
nowe_wydawnictwo$same[1] <- 0
nowe_wydawnictwo <- nowe_wydawnictwo %>%
filter(same==0) %>%
select(-same)
nazwa <- ifelse(is.na(nowe_wydawnictwo$wy_nazwa),as.character(nowe_wydawnictwo$wy_miejsce),paste(nowe_wydawnictwo$wy_miejsce,nowe_wydawnictwo$wy_nazwa, sep = ""))
nazwa <- data.frame(nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")))
nowe_wydawnictwo <- data.frame(nowe_wydawnictwo,nazwa)
wydawnictwa_pbl <- PBL_wydawnictwa %>%
select(1,3,2,10)
x <- 1:length(nowe_wydawnictwo$licznik)
wydawnictwa_check <- data.frame(licznik = as.character(), bn_miejsce = as.character(), bn_nazwa = as.character(), n_aut = as.character(), WY_WYDAWNICTWO_ID = as.character(), WY_MIEJSCE = as.character(), WY_NAZWA = as.character(), V1 = as.character(), stringsAsFactors=FALSE)
for (i in x) {
progress(i, max.value = length(x))
lkj <- as.matrix(stringdistmatrix(a=nowe_wydawnictwo$nazwa[i],b=wydawnictwa_pbl$nazwa_prosta, method = "jw"))
lkj <- data.frame(V1 = as.vector(lkj))
kjh <- data.frame(licznik = rep(nowe_wydawnictwo$licznik[i], length(wydawnictwa_pbl$nazwa_prosta)), bn_miejsce = rep(nowe_wydawnictwo$wy_miejsce[i], length(wydawnictwa_pbl$nazwa_prosta)), bn_nazwa = rep(nowe_wydawnictwo$wy_nazwa[i], length(wydawnictwa_pbl$nazwa_prosta)), n_aut = rep(nowe_wydawnictwo$nazwa[i], length(wydawnictwa_pbl$nazwa_prosta)), wydawnictwa_pbl, lkj)
kjh <- kjh[order(kjh$V1),]
kjh <- kjh %>%
top_n(-5,V1)
wydawnictwa_check <- rbind(wydawnictwa_check,kjh)
}
write.csv2(wydawnictwa_check, "C:/Users/uzytkownik/Desktop/2005-2008_wydawnictwa_check_przedm.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')#wydawnictwa
wydawnictwa_check_przedm <- gs_read(gs_title("2005-2008_wydawnictwa_check_przedm"))
wydawnictwa_check_przedm <- wydawnictwa_check_przedm %>%
filter(decyzja=="tak") %>%
select(bn_nazwa,bn_miejsce,WY_WYDAWNICTWO_ID)
wydawnictwa_check_przedm$bn_miejsce <- str_remove(wydawnictwa_check_przedm$bn_miejsce," \\[{0,10}etc\\.{0,10}\\]\\s{0,10}$")
wydawnictwa_check_przedm$bn_nazwa <- str_remove(wydawnictwa_check_przedm$bn_nazwa," \\[{0,10}etc\\.{0,10}\\s{0,10}$")
wydawnictwa_check_przedm$bn_miejsce <- ifelse(grepl("\\[",wydawnictwa_check_przedm$bn_miejsce)&!grepl("\\]",wydawnictwa_check_przedm$bn_miejsce),str_remove(BN_wydawnictwo$bn_miejsce,"\\["),as.character(wydawnictwa_check_przedm$bn_miejsce))
wydawnictwa_check_przedm$bn_nazwa <- ifelse(grepl("\\]",wydawnictwa_check_przedm$bn_nazwa)&!grepl("\\[",wydawnictwa_check_przedm$bn_nazwa),str_remove(wydawnictwa_check_przedm$bn_nazwa,"\\]"),as.character(wydawnictwa_check_przedm$bn_nazwa))
wydawnictwa_check_przedm$merge_wyd <- paste(wydawnictwa_check_przedm$bn_nazwa,wydawnictwa_check_przedm$bn_miejsce,sep = "|")
out$merge_wyd <- paste(out$wy_nazwa,out$wy_miejsce,sep = "|")
final <- merge(x=out, y=wydawnictwa_check_przedm, by = "merge_wyd", all.x = TRUE)
final <-final[order(as.integer(as.character(final$licznik)), final$DZ_NAZWA, final$am_autor_id, final$am_nazwisko, final$os_osoba_id, final$os_nazwisko, final$wy_wydawnictwo_id, final$wy_nazwa),]
final$WY_WYDAWNICTWO_ID[final$wy_nazwa==""&is.na(final$wy_miejsce)] <- NA
final$wy_miejsce[final$wy_nazwa==""&is.na(final$wy_miejsce)] <- NA
final$wy_nazwa[final$wy_nazwa==""&is.na(final$wy_miejsce)] <- NA
final <- mutate(final,
napr = ifelse(final$wy_wydawnictwo_id=="",as.character(final$WY_WYDAWNICTWO_ID),as.character(final$wy_wydawnictwo_id)))
final$wy_wydawnictwo_id <- final$napr
final$wy_miejsce <- ifelse(is.na(final$wy_wydawnictwo_id),as.character(final$wy_miejsce),NA)
final$wy_nazwa <- ifelse(is.na(final$wy_wydawnictwo_id),as.character(final$wy_nazwa),NA)
final <- final %>%
select(2:34)
final$rekord_BN <- ifelse(final$rekord_BN=="","",paste("'",final$rekord_BN,sep = ""))
write.csv2(final, "C:/Users/Cezary/Desktop/2005_2008_przedmiotowe_gotowe.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
#write.csv2(final, "C:/Users/cezar/Desktop/gotowe.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')data <- rbind(antologie, dziwne_antologie, antologia_3_4)
data <- data.frame(data, licznik = 1:length(data$id))
#1
za_uwagi <- data %>%
select(za_uwagi = id, licznik)
za_uwagi$za_uwagi <- str_replace_all(za_uwagi$za_uwagi," ","0")
za_uwagi$za_uwagi <- ifelse(nchar(za_uwagi$za_uwagi)==13,za_uwagi$za_uwagi, sprintf("%013d", as.integer(za_uwagi$za_uwagi)))
#2
rz_nazwa <- data.frame(rz_nazwa = "inne", licznik = 1:lengths(za_uwagi))
#3
za_ro_rok <- data %>%
select(za_ro_rok = rok, licznik)
#4
za_type <- data.frame(licznik = 1:lengths(data), za_type = "KS")
#5
rz_rodzaj_id <- data.frame(licznik = 1:lengths(data), RZ_RODZAJ_ID = "")
#6
marc_field <- data %>%
select(id,licznik,X245)#%>%
marc_field$X245<-str_remove_all(marc_field$X245,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X245 <- str_replace(marc_field$X245,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+4] <- ifelse(grepl(subfield_list_char2[i],marc_field$X245),str_replace_all(gsub(string,"\\3",marc_field$X245),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
BN_autor <- data %>%
select(X100, X245, X700, X501, licznik)
BN_autor <- mutate(BN_autor,
X245c = marc_field$`$c`)
autor1 <- BN_autor %>%
filter(X700=="")
autor1 <- mutate(autor1,
drugi_autor = "")
BN_autor <- cSplit(BN_autor,"X700",sep = "|",direction = "long")
BN_autor <- mutate(BN_autor,
czy_funkcja = grepl("\\$e|\\$b",BN_autor$X700),
czy_t = grepl("\\$t",BN_autor$X700))
BN_autor$drugi_autor <- ifelse(BN_autor$czy_funkcja==FALSE&BN_autor$czy_t==FALSE, as.character(BN_autor$X700),"")
BN_autor <- BN_autor %>%
select(-8,-7)
BN_wspoltworca <- BN_autor
BN_autor <- ddply(BN_autor, .(licznik, X100, X245, X245c, X501), summarize, X700 = paste(X700, collapse="|"), drugi_autor = paste(drugi_autor, collapse = "|"))
BN_autor$drugi_autor <- str_remove(BN_autor$drugi_autor,"^\\|+")
BN_autor$drugi_autor <- str_replace_all(BN_autor$drugi_autor,"\\|+","\\|")
BN_autor$drugi_autor[BN_autor$drugi_autor==""] <- NA
BN_autor <- BN_autor[order(BN_autor$licznik,BN_autor$drugi_autor),]
BN_autor <- BN_autor %>%
select(names(autor1))
BN_autor <- rbind(BN_autor,autor1)
BN_autor <- BN_autor[order(BN_autor$licznik),]
BN_autor$drugi_autor[is.na(BN_autor$drugi_autor)] <- ""
BN_autor$drugi_autor[is.na(BN_autor$X245c)] <- ""
BN_autor$X100 <- paste(BN_autor$X100,BN_autor$drugi_autor,sep = "|")
BN_autor$X100 <- str_remove(BN_autor$X100,"^\\|+")
BN_autor$X100 <- str_remove(BN_autor$X100,"\\|+$")
BN_autor <- BN_autor %>%
select(-length(BN_autor))
BN_autor <- cSplit(BN_autor,"X100",sep = "|",direction = "long")
marc_field <- BN_autor %>%
select(licznik,X100)#%>%
marc_field$X100<-str_remove_all(marc_field$X100,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_autor$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X100 <- str_replace(marc_field$X100,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X100),str_replace_all(gsub(string,"\\3",marc_field$X100),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
BN_autor <- mutate(BN_autor,
osoba_nazw = ifelse(grepl(",",marc_field$`$a`),str_replace_all(marc_field$`$a`,"(.*?)(, )(.*)","\\1"),as.character(marc_field$`$a`)),
osoba_imie = ifelse(grepl(",",marc_field$`$a`),str_replace_all(marc_field$`$a`,"(.*?)(, )(.*)","\\3"),""))
BN_autor <- mutate(BN_autor,
czy = str_detect(BN_autor$X245c,BN_autor$osoba_nazw)|str_detect(BN_autor$X245c,BN_autor$osoba_imie))
colnames(BN_autor)[6] <- "ZA_ADNOTACJE"
BN_autor$ZA_ADNOTACJE <- ifelse(is.na(BN_autor$ZA_ADNOTACJE),"",as.character(BN_autor$ZA_ADNOTACJE))
BN_autor$ZA_ADNOTACJE <- ifelse(BN_autor$czy==FALSE,paste("Uwaga, błąd w danych osobowych", BN_autor$ZA_ADNOTACJE, sep = ": "),"")
BN_autor <- BN_autor %>%
select(licznik,X100,ZA_ADNOTACJE)
marc_field <- BN_autor %>%
select(licznik,X100)
marc_field$X100<-str_remove_all(marc_field$X100,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_autor$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X100 <- str_replace(marc_field$X100,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X100),str_replace_all(gsub(string,"\\3",marc_field$X100),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
BN_autor <- BN_autor %>%
select(licznik,ZA_ADNOTACJE)
BN_autor <- mutate(BN_autor,
X100 = marc_field$`$a`)
BN_autor$X100 <- str_remove(BN_autor$X100,"(?<=[a-zęóąśłżźćń])(\\.$)")
BN_autor_long <- BN_autor
BN_autor <- ddply(BN_autor, .(licznik), summarize, X100 = paste(X100, collapse="|"), ZA_ADNOTACJE = paste(ZA_ADNOTACJE, collapse = ""))
BN_autor <- mutate(BN_autor,
nazwa = str_replace_all(str_to_lower(BN_autor$X100), "\\W", ""))
BN_autor_long <- mutate(BN_autor_long,
nazwa = str_replace_all(str_to_lower(BN_autor_long$X100), "\\W", ""))
BN_PBL_autor <- merge(x = BN_autor_long, y = PBL_autorzy, by = 'nazwa', sort = FALSE, all.x = TRUE)
BN_PBL_autor <- BN_PBL_autor[order(BN_PBL_autor$licznik, -BN_PBL_autor$AM_LICZBA_ZAPISOW),]
BN_PBL_autor %$%
{ licznik == dplyr::lag(licznik, 1) & X100 ==lag(X100,)} %>%
as.numeric() %>%
{.} -> BN_PBL_autor$same
BN_PBL_autor$same[1] <- 0
BN_PBL_autor <- BN_PBL_autor %>%
filter(same==0) %>%
select(-length(BN_PBL_autor))
BN_PBL_autor <- mutate(BN_PBL_autor,
am_nazwisko = ifelse(grepl(",",BN_PBL_autor$X100),str_replace_all(BN_PBL_autor$X100,"(.*?)(, )(.*)","\\1"),as.character(BN_PBL_autor$X100)),
am_imie = ifelse(grepl(",",BN_PBL_autor$X100),str_replace_all(BN_PBL_autor$X100,"(.*?)(, )(.*)","\\3"),""))
test <- data %>%
select(licznik)
BN_PBL_autor <- merge(x=BN_PBL_autor,y=test,by = "licznik",all = TRUE)
am_autor_id <- BN_PBL_autor %>%
select(licznik, AM_AUTOR_ID)
#7
aut_id_nazw <- BN_PBL_autor %>%
select(licznik,AM_AUTOR_ID,am_nazwisko)
am_nazwisko <- aut_id_nazw
am_nazwisko$am_nazwisko[!is.na(am_nazwisko$AM_AUTOR_ID)] <- NA
#8
aut_id_imie <- BN_PBL_autor %>%
select(licznik,AM_AUTOR_ID,am_imie)
am_imie <- aut_id_imie
am_imie$am_imie[!is.na(am_imie$AM_AUTOR_ID)] <- NA
#9
tw_tworca_id <- data_frame(TW_TWORCA_ID = NA, licznik = 1:lengths(za_uwagi))
#10
tw_nazwisko <- data_frame(tw_nazwisko = NA, licznik = 1:lengths(za_uwagi))
#11
tw_imie <- data_frame(tw_imie = NA, licznik = 1:lengths(za_uwagi))
#12
dz_nazwa <- data_frame(DZ_NAZWA = "inne", licznik = 1:lengths(za_uwagi))
#13
dz_dzial_id <- data_frame(DZ_DZIAL_ID = NA, licznik = 1:lengths(za_uwagi))
#14
marc_field <- data %>%
select(licznik,X245)#%>%
marc_field$X245<-str_remove_all(marc_field$X245,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X245 <- str_replace(marc_field$X245,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X245),str_replace_all(gsub(string,"\\3",marc_field$X245),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field$`$a`[is.na(marc_field$`$a`)] <- ""
marc_field$`$b`[is.na(marc_field$`$b`)] <- ""
za_tytul <- data.frame(tytul_bn = paste(marc_field$`$a`,marc_field$`$b`,sep = ""), licznik = marc_field$licznik)
za_tytul$tytul_bn <- str_remove(za_tytul$tytul_bn, "\\s+\\/$")
za_tytul <- mutate(za_tytul,
tytul = gsub("([a-zęóąśłżźćń])( )(:)( {0,1})(\\({0,1})([a-zęóąśłżźćńA-ZĘÓĄŚŁŻŹĆŃ])(.)","\\1.\\2\\U\\5\\6\\E\\7",perl = TRUE, za_tytul$tytul_bn))
za_tytul$tytul <- gsub("( )(:)( {0,1}[a-z])(.)","\\1\\U\\3\\E\\4",perl = TRUE, za_tytul$tytul)
za_tytul$tytul <- str_replace(za_tytul$tytul, "([^\\.])(\\.$)","\\1")
za_tytul <- za_tytul %>%
select(2,3)
#15
marc_field <- data %>%
select(licznik,X246)
marc_field$X246 <- str_replace_all(marc_field$X246,"(^|\\|)","~\\1")
marc_field <- cSplit(marc_field,"X246",sep = "~",direction = "long")
marc_field$X246<-str_remove_all(marc_field$X246,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X246,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X246,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X246 <- str_replace(marc_field$X246,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X246),str_replace_all(gsub(string,"\\3",marc_field$X246),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field$`$a`[is.na(marc_field$`$a`)] <- ""
marc_field$`$b`[is.na(marc_field$`$b`)] <- ""
za_tytul_oryginalu <- marc_field %>%
select(licznik,`$a`,`$b`,`$i`)
za_tytul_oryginalu <- mutate(za_tytul_oryginalu,
tytul = ifelse(grepl("yt\\.{0,1} oryg|yt\\.{0,1}oryg|yt\\.{0,1} org|ytu[lł] orygina",za_tytul_oryginalu$`$i`),paste(za_tytul_oryginalu$`$a`,za_tytul_oryginalu$`$b`,sep = ""),NA))
za_tytul_oryginalu <- za_tytul_oryginalu[order(za_tytul_oryginalu$licznik,za_tytul_oryginalu$tytul),]
za_tytul_oryginalu %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> za_tytul_oryginalu$same
za_tytul_oryginalu$same[1] <- 0
za_tytul_oryginalu <- za_tytul_oryginalu %>%
filter(same==0) %>%
select(-length(za_tytul_oryginalu))
za_tytul_oryginalu <- za_tytul_oryginalu %>%
select(1,5)
za_tytul_oryginalu$tytul <- gsub("([a-zęóąśłżźćń])( )(:)( {0,1})(\\({0,1})([a-zęóąśłżźćńA-ZĘÓĄŚŁŻŹĆŃ])(.)","\\1.\\2\\U\\5\\6\\E\\7",perl = TRUE, za_tytul_oryginalu$tytul)
za_tytul_oryginalu$tytul <- gsub("( )(:)( {0,1}[a-z])(.)","\\1\\U\\3\\E\\4",perl = TRUE, za_tytul_oryginalu$tytul)
za_tytul_oryginalu$tytul <- str_replace(za_tytul_oryginalu$tytul, "([^\\.])(\\.$)","\\1")
#16
marc_field <- data %>%
select(licznik,X041)
marc_field$X041<-str_remove_all(marc_field$X041,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X041,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X041,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X041 <- str_replace(marc_field$X041,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X041),str_replace_all(gsub(string,"\\3",marc_field$X041),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
za_jezyk_oryginalu <- marc_field %>%
select(licznik,jezyk_oryginalu = `$a`)
za_jezyk_oryginalu$jezyk_oryginalu <- str_replace_all(za_jezyk_oryginalu$jezyk_oryginalu,"\\$a","|")
#17
BN_wspoltworca$X700[BN_wspoltworca$drugi_autor!=""] <- NA
BN_wspoltworca <- BN_wspoltworca %>%
filter(!is.na(X700))
marc_field <- BN_wspoltworca %>%
select(licznik,X700)
marc_field$X700<-str_remove_all(marc_field$X700,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X700,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_wspoltworca$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X700 <- str_replace(marc_field$X700,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X700),str_replace_all(gsub(string,"\\3",marc_field$X700),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field$`$e` <- str_replace_all(marc_field$`$e`,"\\$e","|")
BN_wspoltworca <- marc_field %>%
select(licznik,osoba = `$a`,funkcja = `$e`) %>%
filter(!is.na(funkcja))
BN_wspoltworca <- mutate(BN_wspoltworca,
ws_prosty = str_replace_all(str_to_lower(BN_wspoltworca$osoba), "\\W", ""),
fu_prosta = str_replace_all(str_to_lower(BN_wspoltworca$funkcja), "\\W", ""))
BN_PBL_wspoltworcy <- merge(x = BN_wspoltworca, y = PBL_wspoltworcy, by.x = "ws_prosty", by.y = 'nazwa_prosta', sort = FALSE, all.x = TRUE)
BN_PBL_wspoltworcy <- merge(x = BN_PBL_wspoltworcy, y = PBL_funkcje, by.x = "fu_prosta",by.y = 'nazwa', sort = FALSE, all.x = TRUE)
BN_PBL_wspoltworcy <- BN_PBL_wspoltworcy[order(as.integer(as.character(BN_PBL_wspoltworcy$licznik))),]
BN_PBL_wspoltworcy$osoba <- str_remove(BN_PBL_wspoltworcy$osoba,"(?<=[a-zęóąśłżźćń])(\\.$)")
BN_PBL_wspoltworcy <- mutate(BN_PBL_wspoltworcy,
osoba_nazw = ifelse(grepl(",",BN_PBL_wspoltworcy$osoba),str_replace_all(BN_PBL_wspoltworcy$osoba,"(.*?)(, )(.*)","\\1"),as.character(BN_PBL_wspoltworcy$osoba)),
osoba_imie = ifelse(grepl(",",BN_PBL_wspoltworcy$osoba),str_replace_all(BN_PBL_wspoltworcy$osoba,"(.*?)(, )(.*)","\\3"),""))
test <- data %>%
select(licznik)
BN_PBL_wspoltworcy <- merge(x = test, y =BN_PBL_wspoltworcy,by = "licznik", all = TRUE)
BN_PBL_wspoltw <- BN_PBL_wspoltworcy %>%
select(licznik, OS_OSOBA_ID,osoba_nazw,osoba_imie,fo_symbol)
os_osoba_id <- BN_PBL_wspoltw %>%
select(licznik,OS_OSOBA_ID)
os_nazwisko <- BN_PBL_wspoltw
os_nazwisko$osoba_nazw[!is.na(os_nazwisko$OS_OSOBA_ID)] <- NA
os_nazwisko <- os_nazwisko %>%
select(licznik, os_nazwisko = osoba_nazw)
os_imie <- BN_PBL_wspoltw
os_imie$osoba_imie[!is.na(os_imie$OS_OSOBA_ID)] <- NA
os_imie <- os_imie %>%
select(licznik, os_imie = osoba_imie)
#22
za_opis_wspoltworcow <- BN_PBL_wspoltworcy %>%
select(licznik,funkcja,osoba_imie,osoba_nazw)
za_opis_wspoltworcow$funkcja <- ifelse(is.na(za_opis_wspoltworcow$funkcja),"",as.character(za_opis_wspoltworcow$funkcja))
za_opis_wspoltworcow$osoba_nazw <- ifelse(is.na(za_opis_wspoltworcow$osoba_nazw),"",as.character(za_opis_wspoltworcow$osoba_nazw))
za_opis_wspoltworcow$osoba_imie <- ifelse(is.na(za_opis_wspoltworcow$osoba_imie),"",as.character(za_opis_wspoltworcow$osoba_imie))
za_opis_wspoltworcow <- mutate(za_opis_wspoltworcow,
opis = paste(za_opis_wspoltworcow$funkcja,za_opis_wspoltworcow$osoba_imie, za_opis_wspoltworcow$osoba_nazw, sep = " "))
za_opis_wspoltworcow$opis <- str_replace_all(za_opis_wspoltworcow$opis," +"," ")
za_opis_wspoltworcow$opis[za_opis_wspoltworcow$opis==" "] <- ""
za_opis_wspoltworcow <- za_opis_wspoltworcow %>%
select(licznik,opis)
za_opis_wspoltworcow <- ddply(za_opis_wspoltworcow, .(licznik), summarize, opis = paste(opis, collapse=". "))
test <- data %>%
select(licznik)
za_opis_wspoltworcow <- merge(x=test,y=za_opis_wspoltworcow, by = "licznik", all = TRUE)
#23
marc_field <- data %>%
select(licznik,X250)
marc_field$X250<-str_replace_all(marc_field$X250,"(^|\\|)","~\\1")
marc_field<- cSplit(marc_field,"X250",sep = "~",direction = "long")
marc_field$X250<-str_remove_all(marc_field$X250,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X250,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X250,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X250 <- str_replace(marc_field$X250,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X250),str_replace_all(gsub(string,"\\3",marc_field$X250),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
za_wydanie <- marc_field %>%
select(licznik, wydanie = `$a`)
za_wydanie$wydanie <- str_remove(za_wydanie$wydanie," \\/$")
za_wydanie <- za_wydanie[order(za_wydanie$licznik,za_wydanie$wydanie),]
za_wydanie %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> za_wydanie$same
za_wydanie$same[1] <- 0
za_wydanie <- za_wydanie %>%
filter(same==0) %>%
select(-length(za_wydanie))
#24
marc_field <- data %>%
select(licznik,X245)
marc_field$X245<-str_replace_all(marc_field$X245,"(^|\\|)","~\\1")
marc_field<- cSplit(marc_field,"X245",sep = "~",direction = "long")
marc_field<- marc_field%>%
filter(X245!="")
marc_field$X245<-str_remove_all(marc_field$X245,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X245 <- str_replace(marc_field$X245,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X245),str_replace_all(gsub(string,"\\3",marc_field$X245),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
za_instytucja <- marc_field %>%
select(licznik, X245 = `$c`)
za_instytucja <- za_instytucja[order(za_instytucja$licznik,za_instytucja$X245),]
za_instytucja %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> za_instytucja$same
za_instytucja$same[1] <- 0
za_instytucja <- za_instytucja %>%
filter(same==0) %>%
select(-length(za_instytucja))
za_instytucja <- mutate(za_instytucja,
instytucja = ifelse(grepl("\\;",za_instytucja$X245),str_replace_all(za_instytucja$X245, "(.*?)(\\;(?!.*\\;))( )+(.*?$)","\\4"),""))
za_instytucja <- merge(x=za_instytucja,y=BN_PBL_wspoltworcy,by = "licznik",all.x = TRUE)
za_instytucja <- za_instytucja %>%
select(1,2,3,16,17)
za_instytucja <- mutate(za_instytucja,
czy_naz = str_detect(za_instytucja$X245,za_instytucja$osoba_nazw),
czy_im = str_detect(za_instytucja$X245,za_instytucja$osoba_imie))
test <- za_instytucja %>%
filter(is.na(czy_naz)&is.na(czy_im)) %>%
filter(instytucja!="") %>%
filter(!(grepl("^\\[[a-zęóąśłżźćń]|^[a-zęóąśłżźćń]",instytucja))) %>%
select(licznik,instytucja)
test$instytucja <- str_remove(test$instytucja,"(?<=[a-zęóąśłżźćń])(\\.$)")
za_instytucja <- test
test <- data %>%
select(licznik)
za_instytucja <- merge(x=za_instytucja,y=test,by = "licznik", all = TRUE)
#25
BN_wydawnictwo <- data.frame(X260 = data$X260, licznik = data$licznik)
BN_wydawnictwo$X260 <- str_replace_all(BN_wydawnictwo$X260,"s\\.n\\.", "b.w.")
BN_wydawnictwo$X260 <- str_replace_all(BN_wydawnictwo$X260,"s\\.l\\.", "b.m.")
BN_wydawnictwo$X260 <- str_replace_all(BN_wydawnictwo$X260,"S\\.l\\.", "b.m.")
BN_wydawnictwo$X260 <- str_replace_all(BN_wydawnictwo$X260,"\\$f", "$c")
BN_wydawnictwo$X260 <- str_remove(BN_wydawnictwo$X260,"^\\\\+")
#ręcznie wygenerować i naprawić błąd ":$a" - powinno być albo ;$a, albo :$b
test <- mutate(BN_wydawnictwo,
dwuk = str_detect(BN_wydawnictwo$X260,"\\:\\$a"))
test <- test %>%
filter(dwuk==TRUE)
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aKielce :$bStowarzyszenie Absolwentów Liceum "Żeromszczacy" :$a[Zagnańsk] :$bŚwiętokrzyskie Towarzystwo Regionalne,$c2005.'] <- '$aKielce :$bStowarzyszenie Absolwentów Liceum "Żeromszczacy" ;$a[Zagnańsk] :$bŚwiętokrzyskie Towarzystwo Regionalne,$c2005.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aWarszawa :$bWydawnictwo Krytyki Politycznej :$awspółpr. Fundacja Galerii Foksal,$ccop. 2008.'] <- '$aWarszawa :$bWydawnictwo Krytyki Politycznej :$bwspółpr. Fundacja Galerii Foksal,$ccop. 2008.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aSzaflary :$bGmina Szaflary :$aNowy Targ :$bZakład Poligraficzny "MK",$c2007.'] <- '$aSzaflary :$bGmina Szaflary ;$aNowy Targ :$bZakład Poligraficzny "MK",$c2007.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aWarszawa :$aZwiązek Więźniów Politycznych Okresu Stalinowskiego 1939-1956 ;$aPruszków :$bWydawnictwo M. M.,$c2005.'] <- '$aWarszawa :$bZwiązek Więźniów Politycznych Okresu Stalinowskiego 1939-1956 ;$aPruszków :$bWydawnictwo M. M.,$c2005.'
BN_wydawnictwo$X260[BN_wydawnictwo$X260=='$aKraków :$bCollegium Columbinum ;$aWarszawa :$aTowarzystwo Badań nad Wiekiem Osiemnastym,$ccop. 2005.'] <- '$aKraków :$bCollegium Columbinum ;$aWarszawa :$bTowarzystwo Badań nad Wiekiem Osiemnastym,$ccop. 2005.'
BN_wydawnictwo <- mutate(BN_wydawnictwo,
rok_wydania = str_extract_all(BN_wydawnictwo$X260, "(?<=\\$c).*(?=\\$e)|(?<=\\$c).*"),
bez_roku = str_replace_all(BN_wydawnictwo$X260, ".\\$c.*", ""))
BN_wydawnictwo$bez_roku <- str_replace_all(BN_wydawnictwo$bez_roku, ";\\$b", ":$b")
BN_wydawnictwo <- mutate(BN_wydawnictwo,
ile_wydawnictw = str_count(BN_wydawnictwo$bez_roku, "\\$b"),
ile_miejsc = str_count(BN_wydawnictwo$bez_roku, "\\$a"),
kolejnosc = str_remove(str_replace_all(as.character(str_extract_all(BN_wydawnictwo$bez_roku, "\\$.")), "[^a-z]", ""),"^c"),
podzielone = str_replace_all(BN_wydawnictwo$bez_roku,"(\\$.)","|\\1~"))
BN_wydawnictwo$podzielone <- str_remove(BN_wydawnictwo$podzielone,"^\\|")
BN_wydawnictwo$kolejnosc <- str_replace_all(BN_wydawnictwo$kolejnosc,"(.)","\\1|")
BN_wydawnictwo$kolejnosc <- str_remove(BN_wydawnictwo$kolejnosc,"\\|$")
BN_wydawnictwo <- cSplit(BN_wydawnictwo,c("kolejnosc","podzielone"), sep = "|", direction = "long")
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == dplyr::lag(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same
BN_wydawnictwo$same[1] <- 0
BN_wydawnictwo$rok_wydania <- as.character(BN_wydawnictwo$rok_wydania)
BN_wydawnictwo$lp <- 1:lengths(BN_wydawnictwo)
pierwsze <- BN_wydawnictwo %>%
filter(same==0)
drugie <- BN_wydawnictwo %>%
filter(same==1)
drugie <- ddply(drugie, .(X260, licznik, rok_wydania, bez_roku, ile_wydawnictw, ile_miejsc, kolejnosc, same), summarize, podzielone = paste(podzielone, collapse=""), lp = paste(lp, collapse="|"))
BN_wydawnictwo <- rbind(pierwsze,drugie)
BN_wydawnictwo$lp <- str_replace(BN_wydawnictwo$lp,"(.*?)(\\|)(.*$)","\\1")
BN_wydawnictwo$lp <- as.integer(BN_wydawnictwo$lp)
BN_wydawnictwo <- BN_wydawnictwo[order(BN_wydawnictwo$licznik,BN_wydawnictwo$lp),]
BN_wydawnictwo <- BN_wydawnictwo %>%
select(-lp)
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == "b" & kolejnosc == dplyr::lead(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same2
BN_wydawnictwo$same2[length(BN_wydawnictwo$podzielone)] <- 0
BN_wydawnictwo$podzielone2 <- lag(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == "a" & kolejnosc == dplyr::lag(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same_a
BN_wydawnictwo$same_a[1] <- 0
BN_wydawnictwo$podzielone3 <- lead(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo$same_a2 <- lead(BN_wydawnictwo$same_a,n=1)
BN_wydawnictwo$podzielone <- ifelse(BN_wydawnictwo$same_a2==1,paste(BN_wydawnictwo$podzielone,BN_wydawnictwo$podzielone3,sep = ""),as.character(BN_wydawnictwo$podzielone))
BN_wydawnictwo <- BN_wydawnictwo %>%
filter(same_a==0)
BN_wydawnictwo$podzielone2 <- lag(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo$podzielone <- ifelse(BN_wydawnictwo$same==0&BN_wydawnictwo$same2==1,paste(BN_wydawnictwo$podzielone,BN_wydawnictwo$podzielone2,sep = "|"),as.character(BN_wydawnictwo$podzielone))
BN_wydawnictwo <- cSplit(BN_wydawnictwo,"podzielone", sep = "|", direction = "long")
BN_wydawnictwo$bez_roku <- BN_wydawnictwo$podzielone
BN_wydawnictwo <- BN_wydawnictwo %>%
select(licznik,rok_wydania,X260,bez_roku)
BN_wydawnictwo$rok_wydania <- as.character(BN_wydawnictwo$rok_wydania)
BN_wydawnictwo <- ddply(BN_wydawnictwo, .(licznik, rok_wydania, X260), summarize, bez_roku = paste(bez_roku, collapse=""))
BN_wydawnictwo$bez_roku <- str_remove_all(BN_wydawnictwo$bez_roku,"\\~")
#drugi raz
BN_wydawnictwo$bez_roku <- str_replace_all(BN_wydawnictwo$bez_roku, ";\\$b", ":$b")
BN_wydawnictwo <- mutate(BN_wydawnictwo,
ile_wydawnictw = str_count(BN_wydawnictwo$bez_roku, "\\$b"),
ile_miejsc = str_count(BN_wydawnictwo$bez_roku, "\\$a"),
kolejnosc = str_remove(str_replace_all(as.character(str_extract_all(BN_wydawnictwo$bez_roku, "\\$.")), "[^a-z]", ""),"^c"),
podzielone = str_replace_all(BN_wydawnictwo$bez_roku,"(\\$.)","|\\1~"))
BN_wydawnictwo$podzielone <- str_remove(BN_wydawnictwo$podzielone,"^\\|")
BN_wydawnictwo$kolejnosc <- str_replace_all(BN_wydawnictwo$kolejnosc,"(.)","\\1|")
BN_wydawnictwo$kolejnosc <- str_remove(BN_wydawnictwo$kolejnosc,"\\|$")
BN_wydawnictwo <- cSplit(BN_wydawnictwo,c("kolejnosc","podzielone"), sep = "|", direction = "long")
BN_wydawnictwo <- BN_wydawnictwo %>%
filter(!is.na(podzielone))
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == dplyr::lag(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same
BN_wydawnictwo$same[1] <- 0
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == "b" & kolejnosc == dplyr::lead(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same2
BN_wydawnictwo$same2[length(BN_wydawnictwo$podzielone)] <- 0
BN_wydawnictwo$podzielone2 <- lag(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == "a" & kolejnosc == dplyr::lag(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same_a
BN_wydawnictwo$same_a[1] <- 0
BN_wydawnictwo$podzielone3 <- lead(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo$same_a2 <- lead(BN_wydawnictwo$same_a,n=1)
BN_wydawnictwo$podzielone <- ifelse(BN_wydawnictwo$same_a2==1,paste(BN_wydawnictwo$podzielone,BN_wydawnictwo$podzielone3,sep = ""),as.character(BN_wydawnictwo$podzielone))
BN_wydawnictwo <- BN_wydawnictwo %>%
filter(same_a==0)
BN_wydawnictwo$podzielone2 <- lag(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo$podzielone <- ifelse(BN_wydawnictwo$same==0&BN_wydawnictwo$same2==1,paste(BN_wydawnictwo$podzielone,BN_wydawnictwo$podzielone2,sep = "|"),as.character(BN_wydawnictwo$podzielone))
BN_wydawnictwo <- cSplit(BN_wydawnictwo,"podzielone", sep = "|", direction = "long")
BN_wydawnictwo$bez_roku <- BN_wydawnictwo$podzielone
BN_wydawnictwo <- BN_wydawnictwo %>%
select(licznik,rok_wydania,X260,bez_roku)
BN_wydawnictwo$rok_wydania <- as.character(BN_wydawnictwo$rok_wydania)
BN_wydawnictwo$czy <- str_detect(BN_wydawnictwo$bez_roku,"\\$a")
BN_wydawnictwo$bez_roku <- ifelse(BN_wydawnictwo$czy==TRUE,paste("|",BN_wydawnictwo$bez_roku,sep = ""),as.character(BN_wydawnictwo$bez_roku))
BN_wydawnictwo <- ddply(BN_wydawnictwo, .(licznik, rok_wydania, X260), summarize, bez_roku = paste(bez_roku, collapse=""))
BN_wydawnictwo$bez_roku <- str_remove_all(BN_wydawnictwo$bez_roku,"\\~")
BN_wydawnictwo$bez_roku <- str_remove_all(BN_wydawnictwo$bez_roku,"^\\|")
BN_wydawnictwo <- cSplit(BN_wydawnictwo, "bez_roku", sep = "|", direction = "long")
BN_wydawnictwo <- mutate(BN_wydawnictwo,
wydawnictwo = str_extract_all(BN_wydawnictwo$bez_roku, "(?<=\\$b)(.*)"),
miejsce_wydania = str_replace_all(str_extract_all(BN_wydawnictwo$bez_roku, "(?<=\\$a)(.*)(?= {0,1}: {0,1}\\$b)|(?<=\\$a)(.*)($)")," ;\\$a", ", "),
nazwa_prosta = str_to_lower(str_replace_all(str_replace_all(unlist(BN_wydawnictwo$bez_roku), "\\$\\w", ""), "\\W", "")),
lp = 1:lengths(BN_wydawnictwo))
BN_wydawnictwo$wydawnictwo <- str_remove(BN_wydawnictwo$wydawnictwo,"\\s+\\;$")
BN_wydawnictwo$wydawnictwo <- str_remove(BN_wydawnictwo$wydawnictwo,"\\s+\\:$")
BN_wydawnictwo$miejsce_wydania <- str_remove(BN_wydawnictwo$miejsce_wydania," \\[{0,10}etc\\.{0,10}\\]\\s{0,10}$")
BN_wydawnictwo$miejsce_wydania <- str_remove(BN_wydawnictwo$miejsce_wydania," \\[{0,10}etc\\.{0,10}\\s{0,10}$")
BN_wydawnictwo$miejsce_wydania <- ifelse(grepl("\\[",BN_wydawnictwo$miejsce_wydania)&!grepl("\\]",BN_wydawnictwo$miejsce_wydania),str_remove(BN_wydawnictwo$miejsce_wydania,"\\["),as.character(BN_wydawnictwo$miejsce_wydania))
BN_wydawnictwo$wydawnictwo <- ifelse(grepl("\\]",BN_wydawnictwo$wydawnictwo)&!grepl("\\[",BN_wydawnictwo$wydawnictwo),str_remove(BN_wydawnictwo$wydawnictwo,"\\]"),as.character(BN_wydawnictwo$wydawnictwo))
BN_PBL_wydawnictwa <- merge( x = BN_wydawnictwo, y = PBL_wydawnictwa, by = 'nazwa_prosta', sort = FALSE, all.x = TRUE, allow.cartesian = TRUE)
BN_PBL_wydawnictwa$to_samo <- BN_PBL_wydawnictwa$wydawnictwo==BN_PBL_wydawnictwa$WY_NAZWA
BN_PBL_wydawnictwa <- BN_PBL_wydawnictwa[order(as.integer(as.character(BN_PBL_wydawnictwa$licznik)), -BN_PBL_wydawnictwa$to_samo, -BN_PBL_wydawnictwa$WY_LICZBA_ZAPISOW),]
BN_PBL_wydawnictwa %$%
{ as.integer(licznik) == dplyr::lag(as.integer(licznik), 1) & nazwa_prosta==lag(nazwa_prosta)} %>%
as.numeric() %>%
{.} -> BN_PBL_wydawnictwa$same
BN_PBL_wydawnictwa$same[1] <- 0
BN_PBL_wydawnictwa <- BN_PBL_wydawnictwa %>%
filter(same==0)
wy_wydawnictwo_id <- BN_PBL_wydawnictwa %>%
select(licznik, WY_WYDAWNICTWO_ID)
wy_wydawnictwo_id <- wy_wydawnictwo_id[order(as.integer(as.character(wy_wydawnictwo_id$licznik))),]
#26
wy_miejsce <- BN_PBL_wydawnictwa %>%
select(licznik, WY_WYDAWNICTWO_ID,miejsce_wydania)
wy_miejsce$miejsce_wydania <- ifelse(is.na(wy_miejsce$WY_WYDAWNICTWO_ID),as.character(wy_miejsce$miejsce_wydania),"")
#27
wy_nazwa <- BN_PBL_wydawnictwa %>%
select(licznik, WY_WYDAWNICTWO_ID,wydawnictwo)
wy_nazwa$wydawnictwo <- ifelse(is.na(wy_miejsce$WY_WYDAWNICTWO_ID),as.character(wy_nazwa$wydawnictwo),"")
#28
za_rok_wydania <- BN_PBL_wydawnictwa %>%
select(licznik, rok_wydania) %>%
unique()
za_rok_wydania$rok_wydania <- str_replace_all(za_rok_wydania$rok_wydania, "(.*)(\\.)", "\\1")
za_rok_wydania$dobry_rok <- ifelse(nchar(as.character(za_rok_wydania$rok_wydania))==4,as.character(za_rok_wydania$rok_wydania),NA)
za_rok_wydania$do_opisu <- ifelse(is.na(za_rok_wydania$dobry_rok),paste("[",str_extract(za_rok_wydania$rok_wydania,"\\d{4}"),"]",sep = ""),"")
test <- data %>%
select(licznik)
za_rok_wydania$licznik <- as.integer(za_rok_wydania$licznik)
za_rok_wydania <- merge(x=za_rok_wydania,y=test,by = "licznik",all = TRUE)
#29
marc_field300 <- data %>%
select(licznik,X300)
marc_field300$X300<-str_remove_all(marc_field300$X300,"^\\|")
marc_field300 <- mutate(marc_field300,
indicator = str_replace_all(marc_field300$X300,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X300,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field300)[1]))
colnames(empty_table) <-subfield_list
marc_field300<-cbind(marc_field300,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field300$X300 <- str_replace(marc_field300$X300,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field300[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field300$X300),str_replace_all(gsub(string,"\\3",marc_field300$X300),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field300$`$a` <- str_remove(marc_field300$`$a`," \\;+$| \\:+$")
marc_field300$`$b` <- str_remove(marc_field300$`$b`," \\;+$| \\:+$")
marc_field300$`$a`[is.na(marc_field300$`$a`)] <- ""
marc_field300$`$b`[is.na(marc_field300$`$b`)] <- ""
marc_field500 <- data %>%
select(licznik,X500)
marc_field500$X500<-str_remove_all(marc_field500$X500,"^\\|")
marc_field500 <- mutate(marc_field500,
indicator = str_replace_all(marc_field500$X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field500)[1]))
colnames(empty_table) <-subfield_list
marc_field500<-cbind(marc_field500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field500$X500 <- str_replace(marc_field500$X500,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field500$X500),str_replace_all(gsub(string,"\\3",marc_field500$X500),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field546 <- data %>%
select(licznik,X546)
marc_field546$X546<-str_remove_all(marc_field546$X546,"^\\|")
marc_field546 <- mutate(marc_field546,
indicator = str_replace_all(marc_field546$X546,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X546,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field546)[1]))
colnames(empty_table) <-subfield_list
marc_field546<-cbind(marc_field546,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field546$X546 <- str_replace(marc_field546$X546,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field546[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field546$X546),str_replace_all(gsub(string,"\\3",marc_field546$X546),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field500$`$a` <- str_remove(marc_field500$`$a`," \\;+$| \\:+$")
marc_field546$`$a` <- str_remove(marc_field546$`$a`," \\;+$| \\:+$")
marc_field500$`$a`[is.na(marc_field500$`$a`)] <- ""
marc_field546$`$a`[is.na(marc_field546$`$a`)] <- ""
za_opis_ks <- data.frame(opis_ks = paste(za_rok_wydania$do_opisu, marc_field300$`$a`,marc_field300$`$b`,marc_field500$`$a`, marc_field546$`$a`,sep = ", "), licznik = as.integer(za_rok_wydania$licznik))
za_opis_ks$opis_ks <- str_replace(za_opis_ks$opis_ks,", , ", ", ")
za_opis_ks$opis_ks <- str_replace(za_opis_ks$opis_ks,", , ", ", ")
za_opis_ks$opis_ks <- str_remove_all(za_opis_ks$opis_ks, "^, |, $")
#30
marc_field490 <- data %>%
select(licznik,X490)
marc_field490 <- cSplit(marc_field490,"X490",sep = "|",direction = "long")
marc_field490 <- marc_field490%>%
filter(X490!="")
marc_field490$X490<-str_remove_all(marc_field490$X490,"^\\|")
marc_field490 <- mutate(marc_field490,
indicator = str_replace_all(marc_field490$X490,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X490,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field490)[1]))
colnames(empty_table) <-subfield_list
marc_field490<-cbind(marc_field490,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field490$X490 <- str_replace(marc_field490$X490,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field490[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field490$X490),str_replace_all(gsub(string,"\\3",marc_field490$X490),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field490$`$a` <- str_remove(marc_field490$`$a`," \\;+$| \\:+$")
marc_field490$`$a`[is.na(marc_field490$`$a`)] <- ""
marc_field490$`$v`[is.na(marc_field490$`$v`)] <- ""
marc_field490$seria <- str_remove(paste("(",marc_field490$`$a`,", ",marc_field490$`$v`,")",sep = ""),", (?=\\)$)")
marc_field490 <- marc_field490 %>%
select(licznik,seria)
marc_field490 <- ddply(marc_field490, .(licznik), summarize, seria = paste(seria, collapse=" "))
test <- data %>%
select(licznik)
za_seria_wydawnicza <- merge(x = test, y = marc_field490, by = "licznik", all = TRUE)
#31
za_tomy <-data.frame(licznik=1:lengths(data), za_tomy = NA)
#32
pracownik <-data.frame(licznik=1:lengths(data), pracownik = "TOMASZ_ant")
#33 adnotacje
za_adnotacje <- data.frame(cbind(BN_PBL_autor$ZA_ADNOTACJE,data$licznik, data$X505))
colnames(za_adnotacje) <- c("adnotacje","licznik","X505")
za_adnotacje$adnotacje <- ifelse(is.na(za_adnotacje$adnotacje),"",as.character(za_adnotacje$adnotacje))
za_adnotacje$X505 <- ifelse(is.na(za_adnotacje$X505),"",as.character(za_adnotacje$X505))
za_adnotacje$adnotacje <- paste(za_adnotacje$adnotacje,za_adnotacje$X505,sep = "|")
za_adnotacje$adnotacje[za_adnotacje$adnotacje=="|"] <- ""
za_adnotacje <- za_adnotacje %>%
select(1,2) %>%
unique()
za_adnotacje$licznik <- as.integer(za_adnotacje$licznik)
za_adnotacje$adnotacje <- ifelse(za_adnotacje$adnotacje=="",NA,as.character(za_adnotacje$adnotacje))
za_adnotacje <- za_adnotacje[order(za_adnotacje$licznik, za_adnotacje$adnotacje),]
za_adnotacje %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> za_adnotacje$same
za_adnotacje$same[1] <- 0
za_adnotacje$licznik[za_adnotacje$same==1]
za_adnotacje <- za_adnotacje %>%
filter(same==0) %>%
select(-length(za_adnotacje))
za_adnotacje$adnotacje <- ifelse(is.na(za_adnotacje$adnotacje),"",as.character(za_adnotacje$adnotacje))
#łączenie
#wyrównanie liczby wierszy
autorzy <- data.frame(cbind(am_autor_id$licznik,am_autor_id$AM_AUTOR_ID,am_nazwisko$am_nazwisko,am_imie$am_imie))
colnames(autorzy) <- c("licznik", "AM_AUTOR_ID", "AM_NAZWISKO", "AM_IMIE")
autorzy$AM_AUTOR_ID <- ifelse(is.na(autorzy$AM_AUTOR_ID),"",as.character(autorzy$AM_AUTOR_ID))
autorzy$AM_NAZWISKO <- ifelse(is.na(autorzy$AM_NAZWISKO),"",as.character(autorzy$AM_NAZWISKO))
autorzy$AM_IMIE <- ifelse(is.na(autorzy$AM_IMIE),"",as.character(autorzy$AM_IMIE))
autorzy <- ddply(autorzy, .(licznik), summarize, AM_AUTOR_ID = paste(AM_AUTOR_ID, collapse="|"), AM_NAZWISKO = paste(AM_NAZWISKO, collapse="|"), AM_IMIE = paste(AM_IMIE, collapse="|"))
autorzy <- autorzy[order(as.integer(as.character(autorzy$licznik))),]
wspoltworcy <- data.frame(cbind(os_osoba_id$licznik, os_osoba_id$OS_OSOBA_ID,os_nazwisko$os_nazwisko,os_imie$os_imie,BN_PBL_wspoltw$fo_symbol))
colnames(wspoltworcy) <- c("licznik", "OS_OSOBA_ID", "OS_NAZWISKO", "OS_IMIE", "FO_SYMBOL")
wspoltworcy$OS_OSOBA_ID <- ifelse(is.na(wspoltworcy$OS_OSOBA_ID),"",as.character(wspoltworcy$OS_OSOBA_ID))
wspoltworcy$OS_NAZWISKO <- ifelse(is.na(wspoltworcy$OS_NAZWISKO),"",as.character(wspoltworcy$OS_NAZWISKO))
wspoltworcy$OS_IMIE <- ifelse(is.na(wspoltworcy$OS_IMIE),"",as.character(wspoltworcy$OS_IMIE))
wspoltworcy$FO_SYMBOL <- ifelse(is.na(wspoltworcy$FO_SYMBOL),"",as.character(wspoltworcy$FO_SYMBOL))
wspoltworcy <- ddply(wspoltworcy, .(licznik), summarize, OS_OSOBA_ID = paste(OS_OSOBA_ID, collapse="|"), OS_NAZWISKO = paste(OS_NAZWISKO, collapse="|"), OS_IMIE = paste(OS_IMIE, collapse="|"), FO_SYMBOL = paste(FO_SYMBOL, collapse="|"))
wspoltworcy <- wspoltworcy[order(as.integer(as.character(wspoltworcy$licznik))),]
wydawnictwa <- data.frame(cbind(wy_wydawnictwo_id$licznik, wy_wydawnictwo_id$WY_WYDAWNICTWO_ID,wy_nazwa$wydawnictwo,wy_miejsce$miejsce_wydania))
colnames(wydawnictwa) <- c("licznik", "WY_WYDAWNICTWO_ID", "WY_NAZWA", "WY_MIEJSCE")
wydawnictwa$WY_WYDAWNICTWO_ID <- ifelse(is.na(wydawnictwa$WY_WYDAWNICTWO_ID),"",as.character(wydawnictwa$WY_WYDAWNICTWO_ID))
wydawnictwa$WY_NAZWA <- ifelse(is.na(wydawnictwa$WY_NAZWA),"",as.character(wydawnictwa$WY_NAZWA))
wydawnictwa$WY_MIEJSCE <- ifelse(is.na(wydawnictwa$WY_MIEJSCE),"",as.character(wydawnictwa$WY_MIEJSCE))
wydawnictwa <- ddply(wydawnictwa, .(licznik), summarize, WY_WYDAWNICTWO_ID = paste(WY_WYDAWNICTWO_ID, collapse="|"), WY_NAZWA = paste(WY_NAZWA, collapse="|"), WY_MIEJSCE = paste(WY_MIEJSCE, collapse="|"))
test <- data %>%
select(licznik)
wydawnictwa <- merge(x=wydawnictwa,y=test,by = "licznik",all = TRUE)
wydawnictwa <- wydawnictwa[order(as.integer(as.character(wydawnictwa$licznik))),]
polaczone <- data.frame(
licznik = za_uwagi$licznik,
rekord_BN = za_uwagi$za_uwagi,
rz_nazwa = rz_nazwa$rz_nazwa,
za_ro_rok = za_ro_rok$za_ro_rok,
za_type = za_type$za_type,
rz_rodzaj_id = rz_rodzaj_id$RZ_RODZAJ_ID,
DZ_NAZWA = dz_nazwa$DZ_NAZWA,
DZ_DZIAL_ID = dz_dzial_id$DZ_DZIAL_ID,
tw_tworca_id = tw_tworca_id$TW_TWORCA_ID,
am_autor_id = autorzy$AM_AUTOR_ID,
am_nazwisko = autorzy$AM_NAZWISKO,
am_imie = autorzy$AM_IMIE,
za_tytul = za_tytul$tytul,
za_tytul_oryginalu = za_tytul_oryginalu$tytul,
za_jezyk_oryginalu = za_jezyk_oryginalu$jezyk_oryginalu,
os_osoba_id = wspoltworcy$OS_OSOBA_ID,
os_nazwisko = wspoltworcy$OS_NAZWISKO,
os_imie = wspoltworcy$OS_IMIE,
fo_symbol = wspoltworcy$FO_SYMBOL,
za_opis_wspoltworcow = za_opis_wspoltworcow$opis,
za_wydanie = za_wydanie$wydanie,
za_tomy = za_tomy$za_tomy,
za_instytucja = za_instytucja$instytucja,
wy_wydawnictwo_id = wydawnictwa$WY_WYDAWNICTWO_ID,
wy_miejsce = wydawnictwa$WY_MIEJSCE,
wy_nazwa = wydawnictwa$WY_NAZWA,
za_rok_wydania = za_rok_wydania$dobry_rok,
za_opis_fizyczny_ksiazki = za_opis_ks$opis_ks,
za_seria_wydawnicza = za_seria_wydawnicza$seria,
tw_nazwisko = tw_nazwisko$tw_nazwisko,
tw_imie = tw_imie$tw_imie,
pracownik = pracownik$pracownik,
za_adnotacje = za_adnotacje$adnotacje
)
out <- cSplit(polaczone, c("am_autor_id", "am_nazwisko", "am_imie","os_osoba_id","os_nazwisko", "os_imie", "fo_symbol","wy_wydawnictwo_id","wy_miejsce","wy_nazwa"),sep = "|",direction = "long")
out <- out %>%
unique()
out$licznik <- ifelse(is.na(out$licznik),'',as.character(out$licznik))
out$rekord_BN <- ifelse(is.na(out$rekord_BN),'',as.character(out$rekord_BN))
out$rz_nazwa <- ifelse(is.na(out$rz_nazwa),'',as.character(out$rz_nazwa))
out$za_ro_rok <- ifelse(is.na(out$za_ro_rok),'',as.character(out$za_ro_rok))
out$za_type <- ifelse(is.na(out$za_type),'',as.character(out$za_type))
out$rz_rodzaj_id <- ifelse(is.na(out$rz_rodzaj_id),'',as.character(out$rz_rodzaj_id))
out$DZ_NAZWA <- ifelse(is.na(out$DZ_NAZWA),'',as.character(out$DZ_NAZWA))
out$DZ_DZIAL_ID <- ifelse(is.na(out$DZ_DZIAL_ID),'',as.character(out$DZ_DZIAL_ID))
out$tw_tworca_id <- ifelse(is.na(out$tw_tworca_id),'',as.character(out$tw_tworca_id))
out$am_autor_id <- ifelse(is.na(out$am_autor_id),'',as.character(out$am_autor_id))
out$am_nazwisko <- ifelse(is.na(out$am_nazwisko),'',as.character(out$am_nazwisko))
out$am_imie <- ifelse(is.na(out$am_imie),'',as.character(out$am_imie))
out$za_tytul <- ifelse(is.na(out$za_tytul),'',as.character(out$za_tytul))
out$za_tytul_oryginalu <- ifelse(is.na(out$za_tytul_oryginalu),'',as.character(out$za_tytul_oryginalu))
out$za_jezyk_oryginalu <- ifelse(is.na(out$za_jezyk_oryginalu),'',as.character(out$za_jezyk_oryginalu))
out$os_osoba_id <- ifelse(is.na(out$os_osoba_id),'',as.character(out$os_osoba_id))
out$os_nazwisko <- ifelse(is.na(out$os_nazwisko),'',as.character(out$os_nazwisko))
out$os_imie <- ifelse(is.na(out$os_imie),'',as.character(out$os_imie))
out$fo_symbol <- ifelse(is.na(out$fo_symbol),'',as.character(out$fo_symbol))
out$za_opis_wspoltworcow <- ifelse(is.na(out$za_opis_wspoltworcow),'',as.character(out$za_opis_wspoltworcow))
out$za_wydanie <- ifelse(is.na(out$za_wydanie),'',as.character(out$za_wydanie))
out$za_tomy <- ifelse(is.na(out$za_tomy),'',as.character(out$za_tomy))
out$za_instytucja <- ifelse(is.na(out$za_instytucja),'',as.character(out$za_instytucja))
out$wy_wydawnictwo_id <- ifelse(is.na(out$wy_wydawnictwo_id),'',as.character(out$wy_wydawnictwo_id))
out$wy_miejsce <- ifelse(is.na(out$wy_miejsce),'',as.character(out$wy_miejsce))
out$wy_nazwa <- ifelse(is.na(out$wy_nazwa),'',as.character(out$wy_nazwa))
out$za_rok_wydania <- ifelse(is.na(out$za_rok_wydania),'',as.character(out$za_rok_wydania))
out$za_opis_fizyczny_ksiazki <- ifelse(is.na(out$za_opis_fizyczny_ksiazki),'',as.character(out$za_opis_fizyczny_ksiazki))
out$za_seria_wydawnicza <- ifelse(is.na(out$za_seria_wydawnicza),'',as.character(out$za_seria_wydawnicza))
out$tw_nazwisko <- ifelse(is.na(out$tw_nazwisko),'',as.character(out$tw_nazwisko))
out$tw_imie <- ifelse(is.na(out$tw_imie),'',as.character(out$tw_imie))
out$pracownik <- ifelse(is.na(out$pracownik),'',as.character(out$pracownik))
out$za_adnotacje <- ifelse(is.na(out$za_adnotacje),'',as.character(out$za_adnotacje))
out %$%
{ licznik == dplyr::lag(licznik, 1) & rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,)} %>%
as.numeric() %>%
{.} -> out$same
out$same[1] <- 0
out$dzielone <- paste(out$am_autor_id,out$am_nazwisko,out$am_imie,out$os_osoba_id,out$os_nazwisko,out$os_imie,out$fo_symbol,out$wy_wydawnictwo_id,out$wy_miejsce,out$wy_nazwa,sep = "")
out <- out %>%
filter(!(same==1&dzielone=="")) %>%
select(1:33)
out %$%
{ licznik == dplyr::lag(licznik, 1) & rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,)} %>%
as.numeric() %>%
{.} -> out$same
out$rekord_BN[out$same == 1] <- ""
out$rz_nazwa[out$same == 1] <- ""
out$za_ro_rok[out$same == 1] <- ""
out$za_type[out$same == 1] <- ""
out$rz_rodzaj_id[out$same == 1] <- ""
out$DZ_NAZWA[out$same == 1] <- ""
out$DZ_DZIAL_ID[out$same == 1] <- ""
out$tw_tworca_id[out$same == 1] <- ""
out$za_tytul[out$same == 1] <- ""
out$za_tytul_oryginalu[out$same == 1] <- ""
out$za_jezyk_oryginalu[out$same == 1] <- ""
out$za_opis_wspoltworcow[out$same == 1] <- ""
out$za_wydanie[out$same == 1] <- ""
out$za_tomy[out$same == 1] <- ""
out$za_instytucja[out$same == 1] <- ""
out$za_rok_wydania[out$same == 1] <- ""
out$za_opis_fizyczny_ksiazki[out$same == 1] <- ""
out$za_seria_wydawnicza[out$same == 1] <- ""
out$tw_nazwisko[out$same == 1] <- ""
out$tw_imie[out$same == 1] <- ""
out$pracownik[out$same == 1] <- ""
out$za_adnotacje[out$same == 1] <- ""
out <- out %>%
select(1:33)
write.csv2(out, "C:/Users/Cezary/Desktop/2005-2008_antologie_do_importu.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
#out <- read.csv2("C:/Users/Cezary/Desktop/2005-2008_podmiotowa_do_importu.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
#out$rekord_BN <- ifelse(is.na(out$rekord_BN),"", as.character(out$rekord_BN))
#out$rekord_BN <- ifelse(nchar(out$rekord_BN)==13,out$rekord_BN, sprintf("%013d", as.integer(out$rekord_BN)))
#out$rekord_BN[out$rekord_BN=="
antologie_small <- data %>%
select(licznik, X041, X080, X100, X245, X246, X250, X260, X300, X380, X490, X500, X501, X500, X546, X600, X650, X655, X700, rok, id)
write.csv2(antologie_small, "C:/Users/uzytkownik/Desktop/2005-2008_antologia_small.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')#wydawnictwa
nowe_wydawnictwo <- out %>%
select(licznik, wy_miejsce, wy_nazwa)
nowe_wydawnictwo <- nowe_wydawnictwo %>%
filter(wy_miejsce!="")
nowe_wydawnictwo <- nowe_wydawnictwo[order(nowe_wydawnictwo$wy_nazwa, nowe_wydawnictwo$wy_miejsce, as.integer(as.character(nowe_wydawnictwo$licznik))),]
nowe_wydawnictwo %$%
{ wy_nazwa==lag(wy_nazwa,1) & wy_miejsce==lag(wy_miejsce,)} %>%
as.numeric() %>%
{.} -> nowe_wydawnictwo$same
nowe_wydawnictwo$same[1] <- 0
nowe_wydawnictwo <- nowe_wydawnictwo %>%
filter(same==0) %>%
select(-same)
nazwa <- ifelse(is.na(nowe_wydawnictwo$wy_nazwa),as.character(nowe_wydawnictwo$wy_miejsce),paste(nowe_wydawnictwo$wy_miejsce,nowe_wydawnictwo$wy_nazwa, sep = ""))
nazwa <- data.frame(nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")))
nowe_wydawnictwo <- data.frame(nowe_wydawnictwo,nazwa)
wydawnictwa_pbl <- PBL_wydawnictwa %>%
select(1,3,2,10)
x <- 1:length(nowe_wydawnictwo$licznik)
wydawnictwa_check <- data.frame(licznik = as.character(), bn_miejsce = as.character(), bn_nazwa = as.character(), n_aut = as.character(), WY_WYDAWNICTWO_ID = as.character(), WY_MIEJSCE = as.character(), WY_NAZWA = as.character(), V1 = as.character(), stringsAsFactors=FALSE)
for (i in x) {
progress(i, max.value = length(x))
lkj <- as.matrix(stringdistmatrix(a=nowe_wydawnictwo$nazwa[i],b=wydawnictwa_pbl$nazwa_prosta, method = "jw"))
lkj <- data.frame(V1 = as.vector(lkj))
kjh <- data.frame(licznik = rep(nowe_wydawnictwo$licznik[i], length(wydawnictwa_pbl$nazwa_prosta)), bn_miejsce = rep(nowe_wydawnictwo$wy_miejsce[i], length(wydawnictwa_pbl$nazwa_prosta)), bn_nazwa = rep(nowe_wydawnictwo$wy_nazwa[i], length(wydawnictwa_pbl$nazwa_prosta)), n_aut = rep(nowe_wydawnictwo$nazwa[i], length(wydawnictwa_pbl$nazwa_prosta)), wydawnictwa_pbl, lkj)
kjh <- kjh[order(kjh$V1),]
kjh <- kjh %>%
top_n(-5,V1)
wydawnictwa_check <- rbind(wydawnictwa_check,kjh)
}
write.csv2(wydawnictwa_check, "C:/Users/uzytkownik/Desktop/2005-2008_wydawnictwa_check_ant.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')#wydawnictwa
wydawnictwa_check_ant <- gs_read(gs_title("2005-2008_wydawnictwa_check_ant"))
wydawnictwa_check_ant <- wydawnictwa_check_ant %>%
filter(decyzja=="tak") %>%
select(bn_nazwa,bn_miejsce,WY_WYDAWNICTWO_ID)
wydawnictwa_check_ant$bn_miejsce <- str_remove(wydawnictwa_check_ant$bn_miejsce," \\[{0,10}etc\\.{0,10}\\]\\s{0,10}$")
wydawnictwa_check_ant$bn_nazwa <- str_remove(wydawnictwa_check_ant$bn_nazwa," \\[{0,10}etc\\.{0,10}\\s{0,10}$")
wydawnictwa_check_ant$bn_miejsce <- ifelse(grepl("\\[",wydawnictwa_check_ant$bn_miejsce)&!grepl("\\]",wydawnictwa_check_ant$bn_miejsce),str_remove(BN_wydawnictwo$bn_miejsce,"\\["),as.character(wydawnictwa_check_ant$bn_miejsce))
wydawnictwa_check_ant$bn_nazwa <- ifelse(grepl("\\]",wydawnictwa_check_ant$bn_nazwa)&!grepl("\\[",wydawnictwa_check_ant$bn_nazwa),str_remove(wydawnictwa_check_ant$bn_nazwa,"\\]"),as.character(wydawnictwa_check_ant$bn_nazwa))
wydawnictwa_check_ant$merge_wyd <- paste(wydawnictwa_check_ant$bn_nazwa,wydawnictwa_check_ant$bn_miejsce,sep = "|")
out$merge_wyd <- paste(out$wy_nazwa,out$wy_miejsce,sep = "|")
final <- merge(x=out, y=wydawnictwa_check_ant, by = "merge_wyd", all.x = TRUE)
final <-final[order(as.integer(as.character(final$licznik)), final$DZ_NAZWA, final$am_autor_id, final$am_nazwisko, final$os_osoba_id, final$os_nazwisko, final$wy_wydawnictwo_id, final$wy_nazwa),]
final$WY_WYDAWNICTWO_ID[final$wy_nazwa==""&is.na(final$wy_miejsce)] <- NA
final$wy_miejsce[final$wy_nazwa==""&is.na(final$wy_miejsce)] <- NA
final$wy_nazwa[final$wy_nazwa==""&is.na(final$wy_miejsce)] <- NA
final <- mutate(final,
napr = ifelse(final$wy_wydawnictwo_id=="",as.character(final$WY_WYDAWNICTWO_ID),as.character(final$wy_wydawnictwo_id)))
final$wy_wydawnictwo_id <- final$napr
final$wy_miejsce <- ifelse(is.na(final$wy_wydawnictwo_id),as.character(final$wy_miejsce),NA)
final$wy_nazwa <- ifelse(is.na(final$wy_wydawnictwo_id),as.character(final$wy_nazwa),NA)
final <- final %>%
select(2:34)
final$rekord_BN <- ifelse(final$rekord_BN=="","",paste("'",final$rekord_BN,sep = ""))
final$rekord_BN <- ifelse(final$rekord_BN=="",NA,as.character(final$rekord_BN))
final <- final[order(as.integer(as.character(final$licznik)), final$rekord_BN),]
write.csv2(final, "C:/Users/Cezary/Desktop/2005_2008_antologie_gotowe.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
#write.csv2(final, "C:/Users/cezar/Desktop/gotowe.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')data <- harlequiny
data$X245 <- str_replace_all(data$X245, "\\]\\. ", "]|$a")
data$X245 <- str_replace_all(data$X245, "\\/[^\\$]", "/$c")
data <- cSplit(data, c("X245", "X246"), sep = "|", direction = "long")
data <- data.frame(data, licznik = 1:length(data$id))
#uwolnienie kolumn z danymi z bn i przetworzenie do PBL
#1
za_uwagi <- data %>%
select(za_uwagi = id, licznik)
za_uwagi$za_uwagi <- str_replace_all(za_uwagi$za_uwagi," ","0")
za_uwagi$za_uwagi <- ifelse(nchar(za_uwagi$za_uwagi)==13,za_uwagi$za_uwagi, sprintf("%013d", as.integer(za_uwagi$za_uwagi)))
za_uwagi %$%
{ za_uwagi == dplyr::lag(za_uwagi, 1)} %>%
as.numeric() %>%
{.} -> za_uwagi$same
za_uwagi$same[1] <- 0
za_uwagi$za_uwagi <- ifelse(za_uwagi$same==1,paste(za_uwagi$za_uwagi,"_2", sep = ""),za_uwagi$za_uwagi)
za_uwagi <- za_uwagi %>%
select(1,2)
#2
rz_nazwa <- data.frame(rz_nazwa = rep("książka twórcy (podmiotowa)", length(1:length(za_uwagi$za_uwagi))))
rz_nazwa <- data.frame(rz_nazwa = rz_nazwa$rz_nazwa, licznik = 1:lengths(rz_nazwa))
#3
za_ro_rok <- data %>%
select(za_ro_rok = rok, licznik)
#4
za_type <- data.frame(licznik = data$licznik, za_type = "KS")
#5
rz_rodzaj_id <- merge(x = rz_nazwa, y = PBL_rodzaje_zapisow, by.x = 'rz_nazwa', by.y = 'RZ_NAZWA', sort = FALSE,all.x = TRUE)
rz_rodzaj_id <- rz_rodzaj_id[order(rz_rodzaj_id$licznik),]
rz_rodzaj_id <- rz_rodzaj_id %>%
select(RZ_RODZAJ_ID, licznik)
#6
BN_autor <- data.frame(autorzy = as.character(str_extract_all(data$X245, "(?<=\\/\\$c)(.*)(?= ;)")), licznik = data$licznik)
BN_autor <- mutate(BN_autor,
nazwa = str_replace_all(str_to_lower(BN_autor$autorzy), "\\W", ""))
nazwa2 <- ifelse(is.na(PBL_autorzy$AM_IMIE),as.character(PBL_autorzy$AM_NAZWISKO),paste(PBL_autorzy$AM_IMIE,PBL_autorzy$AM_NAZWISKO, sep = ""))
nazwa2 <- data.frame(nazwa2 = str_to_lower(str_replace_all(nazwa2, "\\W", "")))
nazwa2 <- data.frame(nazwa2 = str_replace_all(str_to_lower(nazwa2$nazwa2), "\\W", ""))
PBL_autorzy <- data.frame(PBL_autorzy, nazwa2 = nazwa2$nazwa2)
PBL_autorzy <- PBL_autorzy %>%
filter(nazwa2 != "nana")
BN_PBL_autor <- merge(x = BN_autor, y = PBL_autorzy, by.x = 'nazwa', by.y = 'nazwa2', sort = FALSE, all.x = TRUE)
BN_PBL_autor <- BN_PBL_autor[order(BN_PBL_autor$licznik, BN_PBL_autor$AM_AUTOR_ID),]
BN_PBL_autor <- BN_PBL_autor[order(BN_PBL_autor$licznik, -BN_PBL_autor$AM_LICZBA_ZAPISOW),]
BN_PBL_autor %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> BN_PBL_autor$same
BN_PBL_autor$same[1] <- 0
BN_PBL_autor <- BN_PBL_autor %>%
filter(same==0) %>%
select(1:14)
colnames(BN_PBL_autor)[14] <- "nazwa_naz_im"
BN_autor_podzielony <- data.frame(autor = str_replace_all(BN_autor$autorzy, "( (?!.* ))","|"), licznik = BN_autor$licznik)
BN_autor_podzielony <- cSplit(BN_autor_podzielony, c("autor"), sep = "|", direction = "wide")
BN_PBL_autor <- merge(BN_PBL_autor,BN_autor_podzielony,by = "licznik", all = TRUE)
am_autor_id <- BN_PBL_autor %>%
select(licznik, AM_AUTOR_ID)
#7
am_nazwisko <- data.frame(nazwisko = BN_autor_podzielony$autor_2, licznik = BN_autor_podzielony$licznik)
aut_id_nazw <- merge(x = am_nazwisko, y = am_autor_id, by = "licznik", all.x=TRUE)
am_nazwisko <- data.frame(am_nazwisko = ifelse(is.na(aut_id_nazw$AM_AUTOR_ID),as.character(aut_id_nazw$nazwisko), NA), licznik = aut_id_nazw$licznik)
#8
am_imie <- data.frame(imie = BN_autor_podzielony$autor_1, licznik = BN_autor_podzielony$licznik)
aut_id_imie <- merge(x = am_imie, y = am_autor_id, by = "licznik", all.x=TRUE)
am_imie <- data.frame(am_imie = ifelse(is.na(aut_id_imie$AM_AUTOR_ID),as.character(aut_id_imie$imie), NA), licznik = aut_id_nazw$licznik)
#9
tw_tworca_id <- merge(x = BN_PBL_autor, y = PBL_autor_to_tworca, by.x = 'AM_AUTOR_ID', by.y = 'id autora', sort = FALSE, all.x = TRUE)
tw_tworca_id <- merge(x = tw_tworca_id, y = PBL_tworcy, by.x = 'id tworcy', by.y = 'TW_TWORCA_ID', sort = FALSE, all.x = TRUE)
tw_tworca_id <- tw_tworca_id %>%
select(licznik,`id tworcy`,AM_NAZWISKO=autor_2,AM_IMIE=autor_1, DZ_NAZWA, TW_DZ_DZIAL_ID)
tw_tworca_id$`id tworcy`[tw_tworca_id$TW_DZ_DZIAL_ID==430] <- NA
tw_tworca_id$AM_NAZWISKO[tw_tworca_id$TW_DZ_DZIAL_ID==430] <- NA
tw_tworca_id$AM_IMIE[tw_tworca_id$TW_DZ_DZIAL_ID==430] <- NA
BN_PBL_tworca <- tw_tworca_id %>%
select(1,TW_TWORCA_ID = 2,TW_NAZWISKO = 3,TW_IMIE = 4,DZ_NAZWA,TW_DZ_DZIAL_ID)
tw_tworca_id <- tw_tworca_id %>%
select(1,TW_TWORCA_ID = 2,TW_NAZWISKO = 3,TW_IMIE = 4)
tw_tworca_id <- tw_tworca_id[order(tw_tworca_id$licznik,tw_tworca_id$TW_TWORCA_ID,tw_tworca_id$TW_NAZWISKO,tw_tworca_id$TW_IMIE),]
tw_tworca_id <- tw_tworca_id %>%
unique()
tw_tworca_id %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> tw_tworca_id$same
tw_tworca_id$same[1] <- 0
tw_tworca_id <- tw_tworca_id %>%
filter(same==0) %>%
select(-length(tw_tworca_id))
#10
tw_nazwisko <- tw_tworca_id
tw_nazwisko$TW_NAZWISKO[!is.na(tw_nazwisko$TW_TWORCA_ID)] <- NA
tw_nazwisko <- tw_nazwisko %>%
select(licznik,TW_NAZWISKO)
#11
tw_imie <- tw_tworca_id
tw_imie$TW_IMIE[!is.na(tw_imie$TW_TWORCA_ID)] <- NA
tw_imie <- tw_imie %>%
select(licznik,TW_IMIE)
#12
BN_PBL_tworca <- BN_PBL_tworca[order(BN_PBL_tworca$licznik,BN_PBL_tworca$TW_TWORCA_ID,BN_PBL_tworca$TW_NAZWISKO,BN_PBL_tworca$TW_IMIE),]
BN_PBL_tworca <- BN_PBL_tworca %>%
unique()
BN_PBL_tworca %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> BN_PBL_tworca$same
BN_PBL_tworca$same[1] <- 0
BN_PBL_tworca <- BN_PBL_tworca %>%
filter(same==0) %>%
select(-length(BN_PBL_tworca))
dz_nazwa_full <- BN_PBL_tworca
dz_nazwa_full <- dz_nazwa_full[order(dz_nazwa_full$licznik),]
#dział na podstawie literatury
literatura_BN <- BN_PBL_tworca %>%
select(licznik,TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE)
marc_field_655 <- data %>%
select(licznik,X655)%>%
filter(X655!="")
marc_field_655$X655<-str_replace_all(marc_field_655$X655,"(^|\\|)","~\\1")
marc_field_655<- cSplit(marc_field_655,"X655",sep = "~",direction = "long")
marc_field_655<- marc_field_655%>%
filter(X655!="")
marc_field_655$X655<-str_remove_all(marc_field_655$X655,"^\\|")
marc_field_655 <- mutate(marc_field_655,
indicator = str_replace_all(marc_field_655$X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}
literatura_BN <- merge(x = literatura_BN, y = marc_field_655, by.x = "licznik",all.x = TRUE)
literatura_BN <- literatura_BN %>%
select(1,2,3,4,X655 = 7)
tw_do_ustalenia <- literatura_BN %>%
filter(is.na(TW_TWORCA_ID))
dz_osob_bez_teatr <- PBL_dz_osob_bez_teatru %>%
select(1,2) %>%
unique()
dz_osob_bez_teatr <- mutate(dz_osob_bez_teatr,
nazwa = substr(str_replace(dz_osob_bez_teatr$DZ_NAZWA, "(.*?\\()(.*?)(\\).*$)","\\2"),1,nchar(str_replace(dz_osob_bez_teatr$DZ_NAZWA, "(.*?\\()(.*?)(\\).*$)","\\2"))-1))
reczne <- data.frame(DZ_DZIAL_ID = c(697,697,697,697,825,1037,1187,1454,884,902,544,544,544,544),DZ_NAZWA = c("Hasła osobowe (brytyjska i irlandzka)","Hasła osobowe (brytyjska i irlandzka)","Hasła osobowe (brytyjska i irlandzka)","Hasła osobowe (brytyjska i irlandzka)","Hasła osobowe (grecka starożytna)","Hasła osobowe (łacińska starożytna)","Hasła osobowe (syryjska)","Hasła osobowe (esperanto)","Hasła osobowe (holenderska)","Hasła osobowe (Indii)","Hasła osobowe (Afryki Subsaharyjskiej)","Hasła osobowe (Afryki Subsaharyjskiej)","Hasła osobowe (Afryki Subsaharyjskiej)","Hasła osobowe (Afryki Subsaharyjskiej)"), redaktor_dzialu = c("BEATAK","BEATAK","BEATAK","BEATAK","BEATAS","BEATAS","BEATAD","CEZARY","TOMASZU","EWA","EWA","EWA","EWA","EWA"), nazwa = c("angielsk","szkock","irlandzk","walijsk","greck","łacińsk","syryjsk","esperanck","niderlandzk","indyjsk","południowoafryka","senegalsk","nigeryjsk","afrykańsk"))
reczne <- reczne %>%
select(1,2,4)
dz_osob_bez_teatr <- rbind(dz_osob_bez_teatr,reczne)
dz_osob_bez_teatr$nazwa[dz_osob_bez_teatr$nazwa=="literatura polsk"] <- "polsk"
literatura_dz <- sqldf("select *
from tw_do_ustalenia a
left join dz_osob_bez_teatr b on a.X655 like ('%'||b.nazwa||'%')")
literatura_dz <- literatura_dz[order(literatura_dz$licznik,literatura_dz$TW_NAZWISKO,literatura_dz$TW_IMIE,literatura_dz$DZ_DZIAL_ID),]
literatura_dz %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> literatura_dz$same
literatura_dz$same[1] <- 0
literatura_dz <- literatura_dz %>%
filter(same==0) %>%
select(-length(literatura_dz))
test <- mutate(BN_PBL_tworca,
polaczone = paste(BN_PBL_tworca$TW_TWORCA_ID,BN_PBL_tworca$licznik,BN_PBL_tworca$TW_NAZWISKO,BN_PBL_tworca$TW_IMIE,sep = "|"))
literatura_dz <- mutate(literatura_dz,
polaczone = paste(literatura_dz$TW_TWORCA_ID,literatura_dz$licznik,literatura_dz$TW_NAZWISKO,literatura_dz$TW_IMIE,sep = "|"))
test <- sqldf("select *
from test a
left join literatura_dz b on a.polaczone=b.polaczone")
test$TW_DZ_DZIAL_ID <- ifelse(is.na(test$TW_TWORCA_ID), test$DZ_DZIAL_ID,test$TW_DZ_DZIAL_ID)
test$DZ_NAZWA <- ifelse(is.na(test$TW_TWORCA_ID), test$DZ_NAZWA..14, test$DZ_NAZWA)
BN_PBL_tworca_full <- test %>%
filter(!is.na(TW_DZ_DZIAL_ID)) %>%
select(1:16)
test <- test %>%
filter(is.na(TW_DZ_DZIAL_ID)) %>%
select(1:16)
dz_nazwa_full <- BN_PBL_tworca_full %>%
select(TW_TWORCA_ID,licznik,DZ_NAZWA, TW_DZ_DZIAL_ID, tw_imie=TW_IMIE, tw_nazwisko=TW_NAZWISKO)
dz_nazwa_full <- dz_nazwa_full[order(dz_nazwa_full$licznik),]
dz_nazwa <- dz_nazwa_full %>%
select(licznik, DZ_NAZWA)
#13
dz_dzial_id <- dz_nazwa_full %>%
select(licznik, DZ_DZIAL_ID=TW_DZ_DZIAL_ID)
#14
marc_field <- data %>%
select(licznik,X245)#%>%
marc_field$X245<-str_remove_all(marc_field$X245,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X245 <- str_replace(marc_field$X245,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X245),str_replace_all(gsub(string,"\\3",marc_field$X245),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field$`$a`[is.na(marc_field$`$a`)] <- ""
za_tytul <- data.frame(tytul_bn = paste(marc_field$`$a`,marc_field$`$b`,sep = ""), licznik = marc_field$licznik)
za_tytul$tytul_bn <- str_remove(za_tytul$tytul_bn, "\\s+\\/$")
za_tytul <- mutate(za_tytul,
tytul = gsub("([a-zęóąśłżźćń])( )(:)( {0,1})(\\({0,1})([a-zęóąśłżźćńA-ZĘÓĄŚŁŻŹĆŃ])(.)","\\1.\\2\\U\\5\\6\\E\\7",perl = TRUE, za_tytul$tytul_bn))
za_tytul$tytul <- gsub("( )(:)( {0,1}[a-z])(.)","\\1\\U\\3\\E\\4",perl = TRUE, za_tytul$tytul)
za_tytul$tytul <- str_replace(za_tytul$tytul, "([^\\.])(\\.$)","\\1")
za_tytul <- za_tytul %>%
select(2,3)
za_tytul_copy <- za_tytul
lista_gat_pbl <- data.frame(gatunek = c("aforyzm","album","antologia","autobiografia","dziennik","esej","felieton","inne","kazanie","list","miniatura prozą","opowiadanie","poemat","powieść","proza","proza poetycka","reportaż","rozmyślanie religijne","rysunek, obraz","scenariusz","szkic","tekst biblijny","tekst dramatyczny","wiersz","wspomnienie","wypowiedź"))
test <- data %>%
select(licznik,X655,X650)
test2 <- sqldf("select *
from test
left join lista_gat_pbl on lower(test.X650) like '%'||lista_gat_pbl.gatunek||'%'")
test <- sqldf("select *
from test
left join lista_gat_pbl on lower(test.X655) like '%'||lista_gat_pbl.gatunek||'%'")
test <- test %>%
select(licznik,gatunek)
test2 <- test2 %>%
select(licznik,gatunek)
test <- rbind(test,test2)
test <- test %>%
unique()
test <- test[order(test$licznik,test$gatunek),]
test %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> test$same
test$same[1] <- 0
test <- test %>%
filter(same==0) %>%
select(-length(test))
za_tytul <- merge(x=za_tytul,y=test, by = "licznik", all.x = TRUE)
za_tytul$tytul <- ifelse(!is.na(za_tytul$gatunek),paste(za_tytul$tytul,". [",gsub("(^.)","\\U\\1",perl = TRUE, za_tytul$gatunek),"]",sep = ""),za_tytul$tytul)
#15
marc_field <- data %>%
select(licznik,X246)
marc_field$X246 <- str_replace_all(marc_field$X246,"(^|\\|)","~\\1")
marc_field <- cSplit(marc_field,"X246",sep = "~",direction = "long")
marc_field$X246<-str_remove_all(marc_field$X246,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X246,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X246,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X246 <- str_replace(marc_field$X246,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X246),str_replace_all(gsub(string,"\\3",marc_field$X246),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
colnames(marc_field)[7] <- "inna"
marc_field$`$a`[is.na(marc_field$`$a`)] <- ""
marc_field$`$b`[is.na(marc_field$`$b`)] <- ""
za_tytul_oryginalu <- marc_field %>%
select(licznik,`$a`,`$b`,`$i`)
za_tytul_oryginalu <- mutate(za_tytul_oryginalu,
tytul = ifelse(grepl("yt\\.{0,1} oryg|yt\\.{0,1}oryg|yt\\.{0,1} org|ytu[lł] orygina",za_tytul_oryginalu$`$i`),paste(za_tytul_oryginalu$`$a`,za_tytul_oryginalu$`$b`,sep = ""),NA))
za_tytul_oryginalu <- za_tytul_oryginalu[order(za_tytul_oryginalu$licznik,za_tytul_oryginalu$tytul),]
za_tytul_oryginalu %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> za_tytul_oryginalu$same
za_tytul_oryginalu$same[1] <- 0
za_tytul_oryginalu <- za_tytul_oryginalu %>%
filter(same==0) %>%
select(-length(za_tytul_oryginalu))
za_tytul_oryginalu <- za_tytul_oryginalu %>%
select(1,5)
za_tytul_oryginalu$tytul <- gsub("([a-zęóąśłżźćń])( )(:)( {0,1})(\\({0,1})([a-zęóąśłżźćńA-ZĘÓĄŚŁŻŹĆŃ])(.)","\\1.\\2\\U\\5\\6\\E\\7",perl = TRUE, za_tytul_oryginalu$tytul)
za_tytul_oryginalu$tytul <- gsub("( )(:)( {0,1}[a-z])(.)","\\1\\U\\3\\E\\4",perl = TRUE, za_tytul_oryginalu$tytul)
za_tytul_oryginalu$tytul <- str_replace(za_tytul_oryginalu$tytul, "([^\\.])(\\.$)","\\1")
#16
marc_field <- data %>%
select(licznik,X041)
marc_field$X041<-str_remove_all(marc_field$X041,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X041,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X041,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X041 <- str_replace(marc_field$X041,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X041),str_replace_all(gsub(string,"\\3",marc_field$X041),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
za_jezyk_oryginalu <- marc_field %>%
select(licznik,jezyk_oryginalu = `$a`)
za_jezyk_oryginalu$jezyk_oryginalu <- str_replace_all(za_jezyk_oryginalu$jezyk_oryginalu,"\\$a","|")
#17
BN_wspoltworca <- data.frame(wspoltworca = str_remove_all(as.character(str_extract_all(data$X245,"(?<=; )(.*)(?=$)")),"\\.$"), licznik = data$licznik)
BN_wspoltworca$wspoltworca <- str_remove_all(BN_wspoltworca$wspoltworca," et al\\.")
BN_wspoltworca <- mutate(BN_wspoltworca,
funkcja = as.character(str_extract_all(BN_wspoltworca$wspoltworca,"(?<=\\[)(.*?)(?= [A-ZÓŚŁŻŹĆŃ])")),
os_imie = as.character(str_extract_all(BN_wspoltworca$wspoltworca,"(?<= )(.*)(?= (?!.* ))")),
os_nazwisko = str_replace_all(BN_wspoltworca$wspoltworca,"(.*)( (?!.* ))(.*)(\\])", "\\3"))
ws_prosty <- paste(BN_wspoltworca$os_nazwisko,BN_wspoltworca$os_imie)
ws_prosty <- unlist(ws_prosty)
ws_prosty <- str_to_lower(ws_prosty)
ws_prosty <- str_replace_all(ws_prosty, "\\W", "")
ws_prosty <- list(ws_prosty)
ws_prosty <- data.frame(ws_prosty)
colnames(ws_prosty) <- "nazwa"
fu_prosta <- BN_wspoltworca$funkcja
fu_prosta <- unlist(fu_prosta)
fu_prosta <- str_to_lower(fu_prosta)
fu_prosta <- str_replace_all(fu_prosta, "\\W", "")
fu_prosta <- list(fu_prosta)
fu_prosta <- data.frame(fu_prosta)
colnames(fu_prosta) <- "nazwa"
ws_BN <- data.frame(licznik = BN_wspoltworca$licznik, os_nazwisko = BN_wspoltworca$os_nazwisko, os_imie = BN_wspoltworca$os_imie, nazwa_prosta = ws_prosty$nazwa, funkcja = BN_wspoltworca$funkcja, nazwa = fu_prosta$nazwa)
BN_PBL_wspoltworcy <- merge(x = ws_BN, y = PBL_wspoltworcy, by = 'nazwa_prosta', sort = FALSE, all.x = TRUE)
BN_PBL_wspoltworcy <- merge(x = BN_PBL_wspoltworcy, y = PBL_funkcje, by = 'nazwa', sort = FALSE, all.x = TRUE)
BN_PBL_wspoltworcy <- BN_PBL_wspoltworcy[order(as.integer(as.character(BN_PBL_wspoltworcy$licznik))),]
#nazwisko
b_os_nazwisko <- data.frame(os_nazwisko = ifelse(is.na(BN_PBL_wspoltworcy$OS_OSOBA_ID), as.character(BN_PBL_wspoltworcy$os_nazwisko), NA))
b_os_imie <- data.frame(os_imie = ifelse(is.na(BN_PBL_wspoltworcy$OS_OSOBA_ID), as.character(BN_PBL_wspoltworcy$os_imie), NA))
BN_PBL_osoby_funkcje <- data.frame(licznik = BN_PBL_wspoltworcy$licznik, os_osoba_id = BN_PBL_wspoltworcy$OS_OSOBA_ID, b_os_nazwisko, b_os_imie, fo_symbol = BN_PBL_wspoltworcy$fo_symbol, fo_nazwa = BN_PBL_wspoltworcy$fo_nazwa )
#22
za_opis_wspoltworcow <- data.frame(za_opis_wspoltworcow = gsub("(\\[)(.)(.*)", "\\1\\U\\2\\E\\3", perl = TRUE, BN_wspoltworca$wspoltworca), licznik = data$licznik)
#23
za_wydanie <- data.frame(data$X250)
za_wydanie <- data.frame(str_replace_all(za_wydanie[,1], "\\$aWyd\\. ",""))
za_wydanie <- data.frame(str_replace_all(za_wydanie[,1], ".\\$.*",""))
za_wydanie <- data.frame(str_replace_all(za_wydanie[,1], "(\\d)(\\.$)","\\1"))
za_wydanie <- cbind(za_wydanie, 1:lengths(za_wydanie))
colnames(za_wydanie) <- c("za_wydanie", "licznik")
#24
marc_field <- data %>%
select(licznik,X245)
marc_field$X245<-str_replace_all(marc_field$X245,"(^|\\|)","~\\1")
marc_field<- cSplit(marc_field,"X245",sep = "~",direction = "long")
marc_field<- marc_field%>%
filter(X245!="")
marc_field$X245<-str_remove_all(marc_field$X245,"^\\|")
marc_field <- mutate(marc_field,
indicator = str_replace_all(marc_field$X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field)[1]))
colnames(empty_table) <-subfield_list
marc_field<-cbind(marc_field,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field$X245 <- str_replace(marc_field$X245,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field$X245),str_replace_all(gsub(string,"\\3",marc_field$X245),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
za_instytucja <- marc_field %>%
select(licznik, X245 = `$c`)
za_instytucja <- za_instytucja[order(za_instytucja$licznik,za_instytucja$X245),]
za_instytucja %$%
{ licznik == dplyr::lag(licznik, 1) } %>%
as.numeric() %>%
{.} -> za_instytucja$same
za_instytucja$same[1] <- 0
za_instytucja <- za_instytucja %>%
filter(same==0) %>%
select(-length(za_instytucja))
za_instytucja <- mutate(za_instytucja,
instytucja = ifelse(grepl("\\;",za_instytucja$X245),str_replace_all(za_instytucja$X245, "(.*?)(\\;(?!.*\\;))( )+(.*?$)","\\4"),""))
za_instytucja <- merge(x=za_instytucja,y=BN_PBL_wspoltworcy,by = "licznik",all.x = TRUE)
za_instytucja <- za_instytucja %>%
select(1,2,3,6,7)
za_instytucja <- mutate(za_instytucja,
czy_naz = str_detect(za_instytucja$X245,as.character(za_instytucja$os_nazwisko)),
czy_im = str_detect(za_instytucja$X245,as.character(za_instytucja$os_imie)))
test <- za_instytucja %>%
filter(is.na(czy_naz)&is.na(czy_im)) %>%
filter(instytucja!="") %>%
filter(!(grepl("^\\[[a-zęóąśłżźćń]|^[a-zęóąśłżźćń]",instytucja))) %>%
select(licznik,instytucja)
test$instytucja <- str_remove(test$instytucja,"(?<=[a-zęóąśłżźćń])(\\.$)")
za_instytucja <- test
test <- data %>%
select(licznik)
za_instytucja <- merge(x=za_instytucja,y=test,by = "licznik", all = TRUE)
#25
BN_wydawnictwo <- data.frame(X260 = data$X260, licznik = data$licznik)
BN_wydawnictwo$X260 <- str_replace_all(BN_wydawnictwo$X260,"s\\.n\\.", "b.w.")
BN_wydawnictwo$X260 <- str_replace_all(BN_wydawnictwo$X260,"s\\.l\\.", "b.m.")
BN_wydawnictwo$X260 <- str_replace_all(BN_wydawnictwo$X260,"S\\.l\\.", "b.m.")
BN_wydawnictwo$X260 <- str_replace_all(BN_wydawnictwo$X260,"\\$f", "$c")
BN_wydawnictwo$X260 <- str_remove(BN_wydawnictwo$X260,"^\\\\+")
#ręcznie wygenerować i naprawić błąd ":$a" - powinno być albo ;$a, albo :$b
test <- mutate(BN_wydawnictwo,
dwuk = str_detect(BN_wydawnictwo$X260,"\\:\\$a"))
test <- test %>%
filter(dwuk==TRUE)
#BN_wydawnictwo$X260[BN_wydawnictwo$X260=="$aKraków :$bCollegium Columbinum ;$aWarszawa :$aTowarzystwo Badań nad Wiekiem Osiemnastym,$ccop. 2006."] <- "$aKraków :$bCollegium Columbinum ;$aWarszawa :$bTowarzystwo Badań nad Wiekiem Osiemnastym,$ccop. 2006."
BN_wydawnictwo <- mutate(BN_wydawnictwo,
rok_wydania = str_extract_all(BN_wydawnictwo$X260, "(?<=\\$c).*(?=\\$e)|(?<=\\$c).*"),
bez_roku = str_replace_all(BN_wydawnictwo$X260, ".\\$c.*", ""))
BN_wydawnictwo$bez_roku <- str_replace_all(BN_wydawnictwo$bez_roku, ";\\$b", ":$b")
BN_wydawnictwo <- mutate(BN_wydawnictwo,
ile_wydawnictw = str_count(BN_wydawnictwo$bez_roku, "\\$b"),
ile_miejsc = str_count(BN_wydawnictwo$bez_roku, "\\$a"),
kolejnosc = str_remove(str_replace_all(as.character(str_extract_all(BN_wydawnictwo$bez_roku, "\\$.")), "[^a-z]", ""),"^c"),
podzielone = str_replace_all(BN_wydawnictwo$bez_roku,"(\\$.)","|\\1~"))
BN_wydawnictwo$podzielone <- str_remove(BN_wydawnictwo$podzielone,"^\\|")
BN_wydawnictwo$kolejnosc <- str_replace_all(BN_wydawnictwo$kolejnosc,"(.)","\\1|")
BN_wydawnictwo$kolejnosc <- str_remove(BN_wydawnictwo$kolejnosc,"\\|$")
BN_wydawnictwo <- cSplit(BN_wydawnictwo,c("kolejnosc","podzielone"), sep = "|", direction = "long")
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == dplyr::lag(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same
BN_wydawnictwo$same[1] <- 0
BN_wydawnictwo$rok_wydania <- as.character(BN_wydawnictwo$rok_wydania)
BN_wydawnictwo$lp <- 1:lengths(BN_wydawnictwo)
pierwsze <- BN_wydawnictwo %>%
filter(same==0)
drugie <- BN_wydawnictwo %>%
filter(same==1)
drugie <- ddply(drugie, .(X260, licznik, rok_wydania, bez_roku, ile_wydawnictw, ile_miejsc, kolejnosc, same), summarize, podzielone = paste(podzielone, collapse=""), lp = paste(lp, collapse="|"))
BN_wydawnictwo <- rbind(pierwsze,drugie)
BN_wydawnictwo$lp <- str_replace(BN_wydawnictwo$lp,"(.*?)(\\|)(.*$)","\\1")
BN_wydawnictwo$lp <- as.integer(BN_wydawnictwo$lp)
BN_wydawnictwo <- BN_wydawnictwo[order(BN_wydawnictwo$licznik,BN_wydawnictwo$lp),]
BN_wydawnictwo <- BN_wydawnictwo %>%
select(-lp)
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == "b" & kolejnosc == dplyr::lead(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same2
BN_wydawnictwo$same2[length(BN_wydawnictwo$podzielone)] <- 0
BN_wydawnictwo$podzielone2 <- lag(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == "a" & kolejnosc == dplyr::lag(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same_a
BN_wydawnictwo$same_a[1] <- 0
BN_wydawnictwo$podzielone3 <- lead(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo$same_a2 <- lead(BN_wydawnictwo$same_a,n=1)
BN_wydawnictwo$podzielone <- ifelse(BN_wydawnictwo$same_a2==1,paste(BN_wydawnictwo$podzielone,BN_wydawnictwo$podzielone3,sep = ""),as.character(BN_wydawnictwo$podzielone))
BN_wydawnictwo <- BN_wydawnictwo %>%
filter(same_a==0)
BN_wydawnictwo$podzielone2 <- lag(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo$podzielone <- ifelse(BN_wydawnictwo$same==0&BN_wydawnictwo$same2==1,paste(BN_wydawnictwo$podzielone,BN_wydawnictwo$podzielone2,sep = "|"),as.character(BN_wydawnictwo$podzielone))
BN_wydawnictwo <- cSplit(BN_wydawnictwo,"podzielone", sep = "|", direction = "long")
BN_wydawnictwo$bez_roku <- BN_wydawnictwo$podzielone
BN_wydawnictwo <- BN_wydawnictwo %>%
select(licznik,rok_wydania,X260,bez_roku)
BN_wydawnictwo$rok_wydania <- as.character(BN_wydawnictwo$rok_wydania)
BN_wydawnictwo <- ddply(BN_wydawnictwo, .(licznik, rok_wydania, X260), summarize, bez_roku = paste(bez_roku, collapse=""))
BN_wydawnictwo$bez_roku <- str_remove_all(BN_wydawnictwo$bez_roku,"\\~")
#drugi raz
BN_wydawnictwo$bez_roku <- str_replace_all(BN_wydawnictwo$bez_roku, ";\\$b", ":$b")
BN_wydawnictwo <- mutate(BN_wydawnictwo,
ile_wydawnictw = str_count(BN_wydawnictwo$bez_roku, "\\$b"),
ile_miejsc = str_count(BN_wydawnictwo$bez_roku, "\\$a"),
kolejnosc = str_remove(str_replace_all(as.character(str_extract_all(BN_wydawnictwo$bez_roku, "\\$.")), "[^a-z]", ""),"^c"),
podzielone = str_replace_all(BN_wydawnictwo$bez_roku,"(\\$.)","|\\1~"))
BN_wydawnictwo$podzielone <- str_remove(BN_wydawnictwo$podzielone,"^\\|")
BN_wydawnictwo$kolejnosc <- str_replace_all(BN_wydawnictwo$kolejnosc,"(.)","\\1|")
BN_wydawnictwo$kolejnosc <- str_remove(BN_wydawnictwo$kolejnosc,"\\|$")
BN_wydawnictwo <- cSplit(BN_wydawnictwo,c("kolejnosc","podzielone"), sep = "|", direction = "long")
BN_wydawnictwo <- BN_wydawnictwo %>%
filter(!is.na(podzielone))
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == dplyr::lag(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same
BN_wydawnictwo$same[1] <- 0
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == "b" & kolejnosc == dplyr::lead(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same2
BN_wydawnictwo$same2[length(BN_wydawnictwo$podzielone)] <- 0
BN_wydawnictwo$podzielone2 <- lag(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo %$%
{ licznik == dplyr::lag(licznik, 1) & kolejnosc == "a" & kolejnosc == dplyr::lag(kolejnosc, 1) } %>%
as.numeric() %>%
{.} -> BN_wydawnictwo$same_a
BN_wydawnictwo$same_a[1] <- 0
BN_wydawnictwo$podzielone3 <- lead(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo$same_a2 <- lead(BN_wydawnictwo$same_a,n=1)
BN_wydawnictwo$podzielone <- ifelse(BN_wydawnictwo$same_a2==1,paste(BN_wydawnictwo$podzielone,BN_wydawnictwo$podzielone3,sep = ""),as.character(BN_wydawnictwo$podzielone))
BN_wydawnictwo <- BN_wydawnictwo %>%
filter(same_a==0)
BN_wydawnictwo$podzielone2 <- lag(BN_wydawnictwo$podzielone,n=1)
BN_wydawnictwo$podzielone <- ifelse(BN_wydawnictwo$same==0&BN_wydawnictwo$same2==1,paste(BN_wydawnictwo$podzielone,BN_wydawnictwo$podzielone2,sep = "|"),as.character(BN_wydawnictwo$podzielone))
BN_wydawnictwo <- cSplit(BN_wydawnictwo,"podzielone", sep = "|", direction = "long")
BN_wydawnictwo$bez_roku <- BN_wydawnictwo$podzielone
BN_wydawnictwo <- BN_wydawnictwo %>%
select(licznik,rok_wydania,X260,bez_roku)
BN_wydawnictwo$rok_wydania <- as.character(BN_wydawnictwo$rok_wydania)
BN_wydawnictwo$czy <- str_detect(BN_wydawnictwo$bez_roku,"\\$a")
BN_wydawnictwo$bez_roku <- ifelse(BN_wydawnictwo$czy==TRUE,paste("|",BN_wydawnictwo$bez_roku,sep = ""),as.character(BN_wydawnictwo$bez_roku))
BN_wydawnictwo <- ddply(BN_wydawnictwo, .(licznik, rok_wydania, X260), summarize, bez_roku = paste(bez_roku, collapse=""))
BN_wydawnictwo$bez_roku <- str_remove_all(BN_wydawnictwo$bez_roku,"\\~")
BN_wydawnictwo$bez_roku <- str_remove_all(BN_wydawnictwo$bez_roku,"^\\|")
BN_wydawnictwo <- cSplit(BN_wydawnictwo, "bez_roku", sep = "|", direction = "long")
BN_wydawnictwo <- mutate(BN_wydawnictwo,
wydawnictwo = str_extract_all(BN_wydawnictwo$bez_roku, "(?<=\\$b)(.*)"),
miejsce_wydania = str_replace_all(str_extract_all(BN_wydawnictwo$bez_roku, "(?<=\\$a)(.*)(?= {0,1}: {0,1}\\$b)|(?<=\\$a)(.*)($)")," ;\\$a", ", "),
nazwa_prosta = str_to_lower(str_replace_all(str_replace_all(unlist(BN_wydawnictwo$bez_roku), "\\$\\w", ""), "\\W", "")),
lp = 1:lengths(BN_wydawnictwo))
BN_wydawnictwo$wydawnictwo <- str_remove(BN_wydawnictwo$wydawnictwo,"\\s+\\;$")
BN_wydawnictwo$wydawnictwo <- str_remove(BN_wydawnictwo$wydawnictwo,"\\s+\\:$")
BN_wydawnictwo$miejsce_wydania <- str_remove(BN_wydawnictwo$miejsce_wydania," \\[{0,10}etc\\.{0,10}\\]\\s{0,10}$")
BN_wydawnictwo$miejsce_wydania <- str_remove(BN_wydawnictwo$miejsce_wydania," \\[{0,10}etc\\.{0,10}\\s{0,10}$")
BN_wydawnictwo$miejsce_wydania <- ifelse(grepl("\\[",BN_wydawnictwo$miejsce_wydania)&!grepl("\\]",BN_wydawnictwo$miejsce_wydania),str_remove(BN_wydawnictwo$miejsce_wydania,"\\["),as.character(BN_wydawnictwo$miejsce_wydania))
BN_wydawnictwo$wydawnictwo <- ifelse(grepl("\\]",BN_wydawnictwo$wydawnictwo)&!grepl("\\[",BN_wydawnictwo$wydawnictwo),str_remove(BN_wydawnictwo$wydawnictwo,"\\]"),as.character(BN_wydawnictwo$wydawnictwo))
BN_PBL_wydawnictwa <- merge( x = BN_wydawnictwo, y = PBL_wydawnictwa, by = 'nazwa_prosta', sort = FALSE, all.x = TRUE, allow.cartesian = TRUE)
BN_PBL_wydawnictwa$to_samo <- BN_PBL_wydawnictwa$wydawnictwo==BN_PBL_wydawnictwa$WY_NAZWA
BN_PBL_wydawnictwa <- BN_PBL_wydawnictwa[order(as.integer(as.character(BN_PBL_wydawnictwa$licznik)), -BN_PBL_wydawnictwa$to_samo, -BN_PBL_wydawnictwa$WY_LICZBA_ZAPISOW),]
BN_PBL_wydawnictwa %$%
{ as.integer(licznik) == dplyr::lag(as.integer(licznik), 1) & nazwa_prosta==lag(nazwa_prosta)} %>%
as.numeric() %>%
{.} -> BN_PBL_wydawnictwa$same
BN_PBL_wydawnictwa$same[1] <- 0
BN_PBL_wydawnictwa <- BN_PBL_wydawnictwa %>%
filter(same==0)
wy_wydawnictwo_id <- BN_PBL_wydawnictwa %>%
select(licznik, WY_WYDAWNICTWO_ID)
wy_wydawnictwo_id <- wy_wydawnictwo_id[order(as.integer(as.character(wy_wydawnictwo_id$licznik))),]
#26
wy_miejsce <- BN_PBL_wydawnictwa %>%
select(licznik, WY_WYDAWNICTWO_ID,miejsce_wydania)
wy_miejsce$miejsce_wydania <- ifelse(is.na(wy_miejsce$WY_WYDAWNICTWO_ID),as.character(wy_miejsce$miejsce_wydania),"")
#27
wy_nazwa <- BN_PBL_wydawnictwa %>%
select(licznik, WY_WYDAWNICTWO_ID,wydawnictwo)
wy_nazwa$wydawnictwo <- ifelse(is.na(wy_miejsce$WY_WYDAWNICTWO_ID),as.character(wy_nazwa$wydawnictwo),"")
#28
za_rok_wydania <- BN_PBL_wydawnictwa %>%
select(licznik, rok_wydania) %>%
unique()
za_rok_wydania$rok_wydania <- str_replace_all(za_rok_wydania$rok_wydania, "(.*)(\\.)", "\\1")
za_rok_wydania$dobry_rok <- ifelse(nchar(as.character(za_rok_wydania$rok_wydania))==4,as.character(za_rok_wydania$rok_wydania),NA)
za_rok_wydania$do_opisu <- ifelse(is.na(za_rok_wydania$dobry_rok),paste("[",str_extract(za_rok_wydania$rok_wydania,"\\d{4}"),"]",sep = ""),"")
#29
marc_field300 <- data %>%
select(licznik,X300)
marc_field300$X300<-str_remove_all(marc_field300$X300,"^\\|")
marc_field300 <- mutate(marc_field300,
indicator = str_replace_all(marc_field300$X300,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X300,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field300)[1]))
colnames(empty_table) <-subfield_list
marc_field300<-cbind(marc_field300,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field300$X300 <- str_replace(marc_field300$X300,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field300[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field300$X300),str_replace_all(gsub(string,"\\3",marc_field300$X300),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field300$`$a` <- str_remove(marc_field300$`$a`," \\;+$| \\:+$")
marc_field300$`$a`[is.na(marc_field300$`$a`)] <- ""
za_opis_ks <- data.frame(opis_ks = paste(za_rok_wydania$do_opisu, marc_field300$`$a`,marc_field300$`$b`,sep = ", "), licznik = as.integer(za_rok_wydania$licznik))
za_opis_ks$opis_ks <- str_replace(za_opis_ks$opis_ks,", , ", ", ")
za_opis_ks$opis_ks <- str_replace(za_opis_ks$opis_ks,", , ", ", ")
za_opis_ks$opis_ks <- str_remove_all(za_opis_ks$opis_ks, "^, |, $")
wsp_info <- data.frame(wsp = paste("[Współwyd.: ",BN_autor$autorzy,": ",za_tytul_copy$tytul,"]", sep = ""), za_uwagi)
wsp_info$za_uwagi <- str_remove_all(wsp_info$za_uwagi,"_2")
wsp_info %$%
{ za_uwagi == dplyr::lag(za_uwagi, 1)} %>%
as.numeric() %>%
{.} -> wsp_info$same
wsp_info$same[1] <- 0
wsp_info <- data.frame(wsp_info, za_uwagi)
wsp_info$za_uwagi <- ifelse(grepl("_2", wsp_info$za_uwagi.1), as.character(wsp_info$za_uwagi),paste(wsp_info$za_uwagi,"_2",sep = ""))
wsp_info <- wsp_info %>%
select(1,2)
wsp_info <- merge(x=wsp_info, y=za_uwagi, by = "za_uwagi")
wsp_info <- wsp_info %>%
select(2,3)
za_opis_fizyczny_ksiazki <- merge(x=za_opis_ks,y=wsp_info, by = "licznik",all = TRUE)
za_opis_fizyczny_ksiazki <- data.frame(za_opis_fizyczny_ksiazki = paste(str_replace_all(za_opis_fizyczny_ksiazki$opis_ks,"(.*)(cm\\.)(.*)", "\\1\\2"), za_opis_fizyczny_ksiazki$wsp, sep = " "), licznik = za_opis_fizyczny_ksiazki$licznik)
#30
marc_field490 <- data %>%
select(licznik,X490)
marc_field490 <- cSplit(marc_field490,"X490",sep = "|",direction = "long")
marc_field490 <- marc_field490%>%
filter(X490!="")
marc_field490$X490<-str_remove_all(marc_field490$X490,"^\\|")
marc_field490 <- mutate(marc_field490,
indicator = str_replace_all(marc_field490$X490,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X490,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field490)[1]))
colnames(empty_table) <-subfield_list
marc_field490<-cbind(marc_field490,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
marc_field490$X490 <- str_replace(marc_field490$X490,subfield_list_char[i],"|\\1")
progress(match(i,x), max.value = length(x))
}
for (i in x) {
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field490[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field490$X490),str_replace_all(gsub(string,"\\3",marc_field490$X490),"\\${2}.", "~"),NA)
progress(match(i,x), max.value = length(x))
}
marc_field490$`$a` <- str_remove(marc_field490$`$a`," \\;+$| \\:+$")
marc_field490$`$a`[is.na(marc_field490$`$a`)] <- ""
marc_field490$`$v`[is.na(marc_field490$`$v`)] <- ""
marc_field490$seria <- str_remove(paste("(",marc_field490$`$a`,", ",marc_field490$`$v`,")",sep = ""),", (?=\\)$)")
marc_field490 <- marc_field490 %>%
select(licznik,seria)
marc_field490 <- ddply(marc_field490, .(licznik), summarize, seria = paste(seria, collapse=" "))
test <- data %>%
select(licznik)
za_seria_wydawnicza <- merge(x = test, y = marc_field490, by = "licznik", all = TRUE)
#31
za_tomy <-data.frame(licznik=1:lengths(data), za_tomy = NA)
#32
pracownik <- merge(x = dz_nazwa_full, y = redaktorzy_dzialow, by.x = "TW_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
pracownik <- pracownik[order(as.integer(as.character(pracownik$licznik))),]
pracownik <- pracownik %>%
select(licznik,redaktor_dzialu)
colnames(pracownik) <- c("licznik", "pracownik")
dz_nazwa_full <- data.frame(dz_nazwa_full, pracownik = pracownik$pracownik)
#33 adnotacje
za_adnotacje <- data.frame(cbind(data$licznik, data$X505))
colnames(za_adnotacje) <- c("licznik","X505")
za_adnotacje$X505 <- ifelse(is.na(za_adnotacje$X505),"",as.character(za_adnotacje$X505))
za_adnotacje$adnotacje <- paste(za_adnotacje$adnotacje,za_adnotacje$X505,sep = "|")
za_adnotacje$adnotacje[za_adnotacje$adnotacje=="|"] <- ""
za_adnotacje <- za_adnotacje %>%
select(1,2)
#łączenie
#wyrównanie liczby wierszy
autorzy <- data.frame(cbind(am_autor_id$licznik,am_autor_id$AM_AUTOR_ID,as.character(am_nazwisko$am_nazwisko),as.character(am_imie$am_imie)))
colnames(autorzy) <- c("licznik", "AM_AUTOR_ID", "AM_NAZWISKO", "AM_IMIE")
autorzy$AM_AUTOR_ID <- ifelse(is.na(autorzy$AM_AUTOR_ID),"",as.character(autorzy$AM_AUTOR_ID))
autorzy$AM_NAZWISKO <- ifelse(is.na(autorzy$AM_NAZWISKO),"",as.character(autorzy$AM_NAZWISKO))
autorzy$AM_IMIE <- ifelse(is.na(autorzy$AM_IMIE),"",as.character(autorzy$AM_IMIE))
autorzy <- ddply(autorzy, .(licznik), summarize, AM_AUTOR_ID = paste(AM_AUTOR_ID, collapse="|"), AM_NAZWISKO = paste(AM_NAZWISKO, collapse="|"), AM_IMIE = paste(AM_IMIE, collapse="|"))
autorzy <- autorzy[order(as.integer(as.character(autorzy$licznik))),]
wspoltworcy <- data.frame(cbind(BN_PBL_wspoltworcy$licznik, BN_PBL_wspoltworcy$OS_OSOBA_ID,as.character(b_os_nazwisko$os_nazwisko),as.character(b_os_imie$os_imie),BN_PBL_wspoltworcy$fo_symbol))
colnames(wspoltworcy) <- c("licznik", "OS_OSOBA_ID", "OS_NAZWISKO", "OS_IMIE", "FO_SYMBOL")
wspoltworcy$OS_OSOBA_ID <- ifelse(is.na(wspoltworcy$OS_OSOBA_ID),"",as.character(wspoltworcy$OS_OSOBA_ID))
wspoltworcy$OS_NAZWISKO <- ifelse(is.na(wspoltworcy$OS_NAZWISKO),"",as.character(wspoltworcy$OS_NAZWISKO))
wspoltworcy$OS_IMIE <- ifelse(is.na(wspoltworcy$OS_IMIE),"",as.character(wspoltworcy$OS_IMIE))
wspoltworcy$FO_SYMBOL <- ifelse(is.na(wspoltworcy$FO_SYMBOL),"",as.character(wspoltworcy$FO_SYMBOL))
wspoltworcy <- ddply(wspoltworcy, .(licznik), summarize, OS_OSOBA_ID = paste(OS_OSOBA_ID, collapse="|"), OS_NAZWISKO = paste(OS_NAZWISKO, collapse="|"), OS_IMIE = paste(OS_IMIE, collapse="|"), FO_SYMBOL = paste(FO_SYMBOL, collapse="|"))
wspoltworcy <- wspoltworcy[order(as.integer(as.character(wspoltworcy$licznik))),]
wydawnictwa <- data.frame(cbind(wy_wydawnictwo_id$licznik, wy_wydawnictwo_id$WY_WYDAWNICTWO_ID,wy_nazwa$wydawnictwo,wy_miejsce$miejsce_wydania))
colnames(wydawnictwa) <- c("licznik", "WY_WYDAWNICTWO_ID", "WY_NAZWA", "WY_MIEJSCE")
wydawnictwa$WY_WYDAWNICTWO_ID <- ifelse(is.na(wydawnictwa$WY_WYDAWNICTWO_ID),"",as.character(wydawnictwa$WY_WYDAWNICTWO_ID))
wydawnictwa$WY_NAZWA <- ifelse(is.na(wydawnictwa$WY_NAZWA),"",as.character(wydawnictwa$WY_NAZWA))
wydawnictwa$WY_MIEJSCE <- ifelse(is.na(wydawnictwa$WY_MIEJSCE),"",as.character(wydawnictwa$WY_MIEJSCE))
wydawnictwa <- ddply(wydawnictwa, .(licznik), summarize, WY_WYDAWNICTWO_ID = paste(WY_WYDAWNICTWO_ID, collapse="|"), WY_NAZWA = paste(WY_NAZWA, collapse="|"), WY_MIEJSCE = paste(WY_MIEJSCE, collapse="|"))
wydawnictwa <- wydawnictwa[order(as.integer(as.character(wydawnictwa$licznik))),]
polaczone <- data.frame(
licznik = za_uwagi$licznik,
rekord_BN = za_uwagi$za_uwagi,
rz_nazwa = rz_nazwa$rz_nazwa,
za_ro_rok = za_ro_rok$za_ro_rok,
za_type = za_type$za_type,
rz_rodzaj_id = rz_rodzaj_id$RZ_RODZAJ_ID,
DZ_NAZWA = dz_nazwa$DZ_NAZWA,
DZ_DZIAL_ID = dz_dzial_id$DZ_DZIAL_ID,
tw_tworca_id = tw_tworca_id$TW_TWORCA_ID,
am_autor_id = autorzy$AM_AUTOR_ID,
am_nazwisko = autorzy$AM_NAZWISKO,
am_imie = autorzy$AM_IMIE,
za_tytul = za_tytul$tytul,
za_tytul_oryginalu = za_tytul_oryginalu$tytul,
za_jezyk_oryginalu = za_jezyk_oryginalu$jezyk_oryginalu,
os_osoba_id = wspoltworcy$OS_OSOBA_ID,
os_nazwisko = wspoltworcy$OS_NAZWISKO,
os_imie = wspoltworcy$OS_IMIE,
fo_symbol = wspoltworcy$FO_SYMBOL,
za_opis_wspoltworcow = za_opis_wspoltworcow$za_opis_wspoltworcow,
za_wydanie = za_wydanie$za_wydanie,
za_tomy = za_tomy$za_tomy,
za_instytucja = za_instytucja$instytucja,
wy_wydawnictwo_id = wydawnictwa$WY_WYDAWNICTWO_ID,
wy_miejsce = wydawnictwa$WY_MIEJSCE,
wy_nazwa = wydawnictwa$WY_NAZWA,
za_rok_wydania = za_rok_wydania$dobry_rok,
za_opis_fizyczny_ksiazki = za_opis_fizyczny_ksiazki$za_opis_fizyczny_ksiazki,
za_seria_wydawnicza = za_seria_wydawnicza$seria,
tw_nazwisko = tw_nazwisko$TW_NAZWISKO,
tw_imie = tw_imie$TW_IMIE,
pracownik = pracownik$pracownik,
za_adnotacje = za_adnotacje$X505
)
out <- cSplit(polaczone, c("am_autor_id", "am_nazwisko", "am_imie","os_osoba_id","os_nazwisko", "os_imie", "fo_symbol","wy_wydawnictwo_id","wy_miejsce","wy_nazwa"),sep = "|",direction = "long")
out <- out %>%
unique()
out$licznik <- ifelse(is.na(out$licznik),'',as.character(out$licznik))
out$rekord_BN <- ifelse(is.na(out$rekord_BN),'',as.character(out$rekord_BN))
out$rz_nazwa <- ifelse(is.na(out$rz_nazwa),'',as.character(out$rz_nazwa))
out$za_ro_rok <- ifelse(is.na(out$za_ro_rok),'',as.character(out$za_ro_rok))
out$za_type <- ifelse(is.na(out$za_type),'',as.character(out$za_type))
out$rz_rodzaj_id <- ifelse(is.na(out$rz_rodzaj_id),'',as.character(out$rz_rodzaj_id))
out$DZ_NAZWA <- ifelse(is.na(out$DZ_NAZWA),'',as.character(out$DZ_NAZWA))
out$DZ_DZIAL_ID <- ifelse(is.na(out$DZ_DZIAL_ID),'',as.character(out$DZ_DZIAL_ID))
out$tw_tworca_id <- ifelse(is.na(out$tw_tworca_id),'',as.character(out$tw_tworca_id))
out$am_autor_id <- ifelse(is.na(out$am_autor_id),'',as.character(out$am_autor_id))
out$am_nazwisko <- ifelse(is.na(out$am_nazwisko),'',as.character(out$am_nazwisko))
out$am_imie <- ifelse(is.na(out$am_imie),'',as.character(out$am_imie))
out$za_tytul <- ifelse(is.na(out$za_tytul),'',as.character(out$za_tytul))
out$za_tytul_oryginalu <- ifelse(is.na(out$za_tytul_oryginalu),'',as.character(out$za_tytul_oryginalu))
out$za_jezyk_oryginalu <- ifelse(is.na(out$za_jezyk_oryginalu),'',as.character(out$za_jezyk_oryginalu))
out$os_osoba_id <- ifelse(is.na(out$os_osoba_id),'',as.character(out$os_osoba_id))
out$os_nazwisko <- ifelse(is.na(out$os_nazwisko),'',as.character(out$os_nazwisko))
out$os_imie <- ifelse(is.na(out$os_imie),'',as.character(out$os_imie))
out$fo_symbol <- ifelse(is.na(out$fo_symbol),'',as.character(out$fo_symbol))
out$za_opis_wspoltworcow <- ifelse(is.na(out$za_opis_wspoltworcow),'',as.character(out$za_opis_wspoltworcow))
out$za_wydanie <- ifelse(is.na(out$za_wydanie),'',as.character(out$za_wydanie))
out$za_tomy <- ifelse(is.na(out$za_tomy),'',as.character(out$za_tomy))
out$za_instytucja <- ifelse(is.na(out$za_instytucja),'',as.character(out$za_instytucja))
out$wy_wydawnictwo_id <- ifelse(is.na(out$wy_wydawnictwo_id),'',as.character(out$wy_wydawnictwo_id))
out$wy_miejsce <- ifelse(is.na(out$wy_miejsce),'',as.character(out$wy_miejsce))
out$wy_nazwa <- ifelse(is.na(out$wy_nazwa),'',as.character(out$wy_nazwa))
out$za_rok_wydania <- ifelse(is.na(out$za_rok_wydania),'',as.character(out$za_rok_wydania))
out$za_opis_fizyczny_ksiazki <- ifelse(is.na(out$za_opis_fizyczny_ksiazki),'',as.character(out$za_opis_fizyczny_ksiazki))
out$za_seria_wydawnicza <- ifelse(is.na(out$za_seria_wydawnicza),'',as.character(out$za_seria_wydawnicza))
out$tw_nazwisko <- ifelse(is.na(out$tw_nazwisko),'',as.character(out$tw_nazwisko))
out$tw_imie <- ifelse(is.na(out$tw_imie),'',as.character(out$tw_imie))
out$pracownik <- ifelse(is.na(out$pracownik),'',as.character(out$pracownik))
out$za_adnotacje <- ifelse(is.na(out$za_adnotacje),'',as.character(out$za_adnotacje))
out %$%
{ licznik == dplyr::lag(licznik, 1) & rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,)} %>%
as.numeric() %>%
{.} -> out$same
out$same[1] <- 0
out$dzielone <- paste(out$am_autor_id,out$am_nazwisko,out$am_imie,out$os_osoba_id,out$os_nazwisko,out$os_imie,out$fo_symbol,out$wy_wydawnictwo_id,out$wy_miejsce,out$wy_nazwa,sep = "")
out <- out %>%
filter(!(same==1&dzielone=="")) %>%
select(1:33)
out %$%
{ licznik == dplyr::lag(licznik, 1) & rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,)} %>%
as.numeric() %>%
{.} -> out$same
out$rekord_BN[out$same == 1] <- ""
out$rz_nazwa[out$same == 1] <- ""
out$za_ro_rok[out$same == 1] <- ""
out$za_type[out$same == 1] <- ""
out$rz_rodzaj_id[out$same == 1] <- ""
out$DZ_NAZWA[out$same == 1] <- ""
out$DZ_DZIAL_ID[out$same == 1] <- ""
out$tw_tworca_id[out$same == 1] <- ""
out$za_tytul[out$same == 1] <- ""
out$za_tytul_oryginalu[out$same == 1] <- ""
out$za_jezyk_oryginalu[out$same == 1] <- ""
out$za_opis_wspoltworcow[out$same == 1] <- ""
out$za_wydanie[out$same == 1] <- ""
out$za_tomy[out$same == 1] <- ""
out$za_instytucja[out$same == 1] <- ""
out$za_rok_wydania[out$same == 1] <- ""
out$za_opis_fizyczny_ksiazki[out$same == 1] <- ""
out$za_seria_wydawnicza[out$same == 1] <- ""
out$tw_nazwisko[out$same == 1] <- ""
out$tw_imie[out$same == 1] <- ""
out$pracownik[out$same == 1] <- ""
out$za_adnotacje[out$same == 1] <- ""
out <- out %>%
select(1:33)
write.csv2(out, "C:/Users/Cezary/Desktop/2005-2008_harlequiny_do_importu.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
#out <- read.csv2("C:/Users/Cezary/Desktop/2005-2008_podmiotowa_do_importu.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
#out$rekord_BN <- ifelse(is.na(out$rekord_BN),"", as.character(out$rekord_BN))
#out$rekord_BN <- ifelse(nchar(out$rekord_BN)==13,out$rekord_BN, sprintf("%013d", as.integer(out$rekord_BN)))
#out$rekord_BN[out$rekord_BN==" NA"] <- ""#twórcy
memory.limit(100000)
nowi_tworcy <- out %>%
select(licznik, tw_nazwisko, tw_imie)
nowi_tworcy <- nowi_tworcy %>%
filter(tw_nazwisko!="")
nowi_tworcy <- nowi_tworcy[order(nowi_tworcy$tw_nazwisko, nowi_tworcy$tw_nazwisko, as.integer(as.character(nowi_tworcy$licznik))),]
nowi_tworcy %$%
{ tw_nazwisko==lag(tw_nazwisko,1) & tw_imie==lag(tw_imie,)} %>%
as.numeric() %>%
{.} -> nowi_tworcy$same
nowi_tworcy$same[1] <- 0
nowi_tworcy <- nowi_tworcy %>%
filter(same==0) %>%
select(-same)
nazwa <- ifelse(is.na(nowi_tworcy$tw_imie),as.character(nowi_tworcy$tw_nazwisko),paste(nowi_tworcy$tw_nazwisko,nowi_tworcy$tw_imie, sep = ""))
nazwa <- data.frame(nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")))
nowi_tworcy <- data.frame(nowi_tworcy,nazwa)
tworcy_pbl <- PBL_tworcy %>%
select(1,2,3,18)
x <- 1:length(nowi_tworcy$licznik)
tworcy_check <- data.frame(licznik = as.character(), bn_nazwisko = as.character(), bn_imie = as.character(), n_aut = as.character(), TW_TWORCA_ID = as.character(), TW_NAZWISKO = as.character(), TW_IMIE = as.character(), V1 = as.character(), stringsAsFactors=FALSE)
for (i in x) {
progress(i, max.value = length(x))
lkj <- as.matrix(stringdistmatrix(a=nowi_tworcy$nazwa[i],b=tworcy_pbl$nazwa, method = "jw"))
lkj <- data.frame(V1 = as.vector(lkj))
kjh <- data.frame(licznik = rep(nowi_tworcy$licznik[i], length(tworcy_pbl$nazwa)), bn_nazwisko = rep(nowi_tworcy$tw_nazwisko[i], length(tworcy_pbl$nazwa)), bn_imie = rep(nowi_tworcy$tw_imie[i], length(tworcy_pbl$nazwa)), n_aut = rep(nowi_tworcy$nazwa[i], length(tworcy_pbl$nazwa)), tworcy_pbl, lkj)
kjh <- kjh[order(kjh$V1),]
kjh <- kjh %>%
top_n(-5,V1)
tworcy_check <- rbind(tworcy_check,kjh)
}
write.csv2(tworcy_check, "C:/Users/Cezary/Desktop/2005-2008_tworcy_check_har.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
#wydawnictwa
nowe_wydawnictwo <- out %>%
select(licznik, wy_miejsce, wy_nazwa)
nowe_wydawnictwo <- nowe_wydawnictwo %>%
filter(wy_miejsce!="")
nowe_wydawnictwo <- nowe_wydawnictwo[order(nowe_wydawnictwo$wy_nazwa, nowe_wydawnictwo$wy_miejsce, as.integer(as.character(nowe_wydawnictwo$licznik))),]
nowe_wydawnictwo %$%
{ wy_nazwa==lag(wy_nazwa,1) & wy_miejsce==lag(wy_miejsce,)} %>%
as.numeric() %>%
{.} -> nowe_wydawnictwo$same
nowe_wydawnictwo$same[1] <- 0
nowe_wydawnictwo <- nowe_wydawnictwo %>%
filter(same==0) %>%
select(-same)
nazwa <- ifelse(is.na(nowe_wydawnictwo$wy_nazwa),as.character(nowe_wydawnictwo$wy_miejsce),paste(nowe_wydawnictwo$wy_miejsce,nowe_wydawnictwo$wy_nazwa, sep = ""))
nazwa <- data.frame(nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")))
nowe_wydawnictwo <- data.frame(nowe_wydawnictwo,nazwa)
wydawnictwa_pbl <- PBL_wydawnictwa %>%
select(1,3,2,10)
x <- 1:length(nowe_wydawnictwo$licznik)
wydawnictwa_check <- data.frame(licznik = as.character(), bn_miejsce = as.character(), bn_nazwa = as.character(), n_aut = as.character(), WY_WYDAWNICTWO_ID = as.character(), WY_MIEJSCE = as.character(), WY_NAZWA = as.character(), V1 = as.character(), stringsAsFactors=FALSE)
for (i in x) {
progress(i, max.value = length(x))
lkj <- as.matrix(stringdistmatrix(a=nowe_wydawnictwo$nazwa[i],b=wydawnictwa_pbl$nazwa_prosta, method = "jw"))
lkj <- data.frame(V1 = as.vector(lkj))
kjh <- data.frame(licznik = rep(nowe_wydawnictwo$licznik[i], length(wydawnictwa_pbl$nazwa_prosta)), bn_miejsce = rep(nowe_wydawnictwo$wy_miejsce[i], length(wydawnictwa_pbl$nazwa_prosta)), bn_nazwa = rep(nowe_wydawnictwo$wy_nazwa[i], length(wydawnictwa_pbl$nazwa_prosta)), n_aut = rep(nowe_wydawnictwo$nazwa[i], length(wydawnictwa_pbl$nazwa_prosta)), wydawnictwa_pbl, lkj)
kjh <- kjh[order(kjh$V1),]
kjh <- kjh %>%
top_n(-5,V1)
wydawnictwa_check <- rbind(wydawnictwa_check,kjh)
}
write.csv2(wydawnictwa_check, "C:/Users/Cezary/Desktop/2005-2008_wydawnictwa_check_har.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')#tworcy
tworcy_check_har <- gs_read(gs_title("2005-2008_tworcy_check_har"))
tworcy_check_har <- tworcy_check_har %>%
filter(decyzja=="tak") %>%
select(bn_nazwisko, bn_imie, TW_TWORCA_ID)
tworcy_check_har$merge_tworcy <- paste(tworcy_check_har$bn_nazwisko,tworcy_check_har$bn_imie,sep = "|")
out$merge_tworcy <- paste(out$tw_nazwisko,out$tw_imie,sep = "|")
final <- merge(x=out, y=tworcy_check_har, by = "merge_tworcy", all.x = TRUE)
final <-final[order(as.integer(as.character(final$licznik)), final$DZ_NAZWA, final$am_autor_id, final$am_nazwisko, final$os_osoba_id, final$os_nazwisko, final$wy_wydawnictwo_id, final$wy_nazwa),]
final$TW_TWORCA_ID[final$tw_nazwisko==""|final$tw_nazwisko!=final$bn_nazwisko] <- NA
final$bn_nazwisko[final$tw_nazwisko==""|final$tw_nazwisko!=final$bn_nazwisko] <- NA
final$bn_imie[final$tw_nazwisko==""|final$tw_nazwisko!=final$bn_nazwisko] <- NA
final <- mutate(final,
napr = ifelse(final$tw_tworca_id=="",as.character(final$TW_TWORCA_ID),as.character(final$tw_tworca_id)))
final$tw_tworca_id <- final$napr
final$tw_imie <- ifelse(is.na(final$tw_tworca_id),as.character(final$tw_imie),NA)
final$tw_nazwisko <- ifelse(is.na(final$tw_tworca_id),as.character(final$tw_nazwisko),NA)
final <- final %>%
select(2:34)
#wydawnictwa
wydawnictwa_check_har <- gs_read(gs_title("2005-2008_wydawnictwa_check_har"))
wydawnictwa_check_har <- wydawnictwa_check_har %>%
filter(decyzja=="tak") %>%
select(bn_nazwa,bn_miejsce,WY_WYDAWNICTWO_ID)
wydawnictwa_check_har$bn_miejsce <- str_remove(wydawnictwa_check_har$bn_miejsce," \\[{0,10}etc\\.{0,10}\\]\\s{0,10}$")
wydawnictwa_check_har$bn_nazwa <- str_remove(wydawnictwa_check_har$bn_nazwa," \\[{0,10}etc\\.{0,10}\\s{0,10}$")
wydawnictwa_check_har$bn_miejsce <- ifelse(grepl("\\[",wydawnictwa_check_har$bn_miejsce)&!grepl("\\]",wydawnictwa_check_har$bn_miejsce),str_remove(BN_wydawnictwo$bn_miejsce,"\\["),as.character(wydawnictwa_check_har$bn_miejsce))
wydawnictwa_check_har$bn_nazwa <- ifelse(grepl("\\]",wydawnictwa_check_har$bn_nazwa)&!grepl("\\[",wydawnictwa_check_har$bn_nazwa),str_remove(wydawnictwa_check_har$bn_nazwa,"\\]"),as.character(wydawnictwa_check_har$bn_nazwa))
wydawnictwa_check_har$merge_wyd <- paste(wydawnictwa_check_har$bn_nazwa,wydawnictwa_check_har$bn_miejsce,sep = "|")
final$merge_wyd <- paste(final$wy_nazwa,final$wy_miejsce,sep = "|")
final <- merge(x=final, y=wydawnictwa_check_har, by = "merge_wyd", all.x = TRUE)
final <-final[order(as.integer(as.character(final$licznik)), final$DZ_NAZWA, final$am_autor_id, final$am_nazwisko, final$os_osoba_id, final$os_nazwisko, final$wy_wydawnictwo_id, final$wy_nazwa),]
final$WY_WYDAWNICTWO_ID[final$wy_nazwa==""&is.na(final$wy_miejsce)] <- NA
final$wy_miejsce[final$wy_nazwa==""&is.na(final$wy_miejsce)] <- NA
final$wy_nazwa[final$wy_nazwa==""&is.na(final$wy_miejsce)] <- NA
final <- mutate(final,
napr = ifelse(final$wy_wydawnictwo_id=="",as.character(final$WY_WYDAWNICTWO_ID),as.character(final$wy_wydawnictwo_id)))
final$wy_wydawnictwo_id <- final$napr
final$wy_miejsce <- ifelse(is.na(final$wy_wydawnictwo_id),as.character(final$wy_miejsce),NA)
final$wy_nazwa <- ifelse(is.na(final$wy_wydawnictwo_id),as.character(final$wy_nazwa),NA)
final <- final %>%
select(2:34)
final$rekord_BN <- ifelse(final$rekord_BN=="","",paste("'",final$rekord_BN,sep = ""))
write.csv2(final, "C:/Users/Cezary/Desktop/2005_2008_harlequiny_gotowe.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
#write.csv2(final, "C:/Users/cezar/Desktop/gotowe.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')options(scipen = 999)
podm <- read.csv2("C:/Users/cezar/Documents/PBL/Import danych z zewnątrz/Biblioteka Narodowa/2005_2008/CSV/2005_2008_podmiotowe_gotowe.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
x <- 1:length(podm)
for (i in x) {
progress(match(i,x), max.value = length(x))
podm$za_adnotacje <- ifelse(grepl("<U\\+(....)>",podm[,i]),paste(podm$za_adnotacje,"UWAGA! Błąd w kodowaniu. Szukaj w dowolnym polu frazy \"SOS\"",sep = "; "),as.character(podm$za_adnotacje))
podm[,i] <- gsub("<U\\+(....)>", "SOS", podm[,i])
}
write.csv2(podm, "C:/Users/cezar/Documents/PBL/Import danych z zewnątrz/Biblioteka Narodowa/2005_2008/CSV/podm2.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
przedm <- read.csv2("file:///C:/Users/cezar/Documents/PBL/Import danych z zewnątrz/Biblioteka Narodowa/2005_2008/CSV/2005_2008_przedmiotowe_gotowe.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
x <- 1:length(przedm)
for (i in x) {
progress(match(i,x), max.value = length(x))
przedm$za_adnotacje <- ifelse(grepl("<U\\+(....)>",przedm[,i]),paste(przedm$za_adnotacje,"UWAGA! Błąd w kodowaniu. Szukaj w dowolnym polu frazy \"SOS\"",sep = "; "),as.character(przedm$za_adnotacje))
przedm[,i] <- gsub("<U\\+(....)>", "SOS", przedm[,i])
}
write.csv2(przedm, "C:/Users/cezar/Documents/PBL/Import danych z zewnątrz/Biblioteka Narodowa/2005_2008/CSV/przedm.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
ant <- read.csv2("file:///C:/Users/cezar/Documents/PBL/Import danych z zewnątrz/Biblioteka Narodowa/2005_2008/CSV/2005_2008_harlequiny_gotowe.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
x <- 1:length(ant)
for (i in x) {
progress(match(i,x), max.value = length(x))
ant$za_adnotacje <- ifelse(grepl("<U\\+(....)>",ant[,i]),paste(ant$za_adnotacje,"UWAGA! Błąd w kodowaniu. Szukaj w dowolnym polu frazy \"SOS\"",sep = "; "),as.character(ant$za_adnotacje))
ant[,i] <- gsub("<U\\+(....)>", "SOS", ant[,i])
}
write.csv2(ant, "C:/Users/cezar/Documents/PBL/Import danych z zewnątrz/Biblioteka Narodowa/2005_2008/CSV/ant.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')dlugosci <- data.frame(pole = c("am_nazwisko", "am_imie", "za_tytul", "za_tytul_oryginalu", "za_jezyk_oryginalu", "os_nazwisko", "os_imie", "za_opis_wspoltworcow", "za_instytucja", "wy_miejsce", "wy_nazwa", "za_opis_fizyczny_ksiazki", "za_seria_wydawnicza", "tw_nazwisko", "tw_imie", "za_adnotacje"), liczba_znakow = c(50,40,500,500,100,50,40,500,255,40,255,1000,255,200,40,2000))
przedm <- read.csv2("file:///C:/Users/cezar/Documents/PBL/Import danych z zewnątrz/Biblioteka Narodowa/2005_2008/CSV/przedm.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
przedm$tw_nazwisko <- ifelse(is.na(przedm$tw_nazwisko),'',as.character(przedm$tw_nazwisko))
przedm$tw_imie <- ifelse(is.na(przedm$tw_imie),'',as.character(przedm$tw_imie))
x <- match(dlugosci$pole,names(przedm))
for (i in x) {
progress(match(i,x), max.value = length(x))
dlugosc <- dlugosci$liczba_znakow[match(names(przedm[i]),dlugosci$pole)]
przedm$za_adnotacje <- ifelse(dlugosc<nchar(as.character(przedm[,i])),paste(przedm$za_adnotacje,"; UWAGA! Pole", as.character(names(przedm[i])),"było zbyt długie i zostało ucięte",sep = " "),as.character(przedm$za_adnotacje))
przedm[,i] <- ifelse(dlugosc<nchar(as.character(przedm[,i])),as.character(substr(przedm[,i],1,dlugosc)),as.character(przedm[,i]))
}
write.csv2(przedm, "C:/Users/cezar/Documents/PBL/Import danych z zewnątrz/Biblioteka Narodowa/2005_2008/csv_nowe/przedm.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')
ant <- read.csv2("file:///C:/Users/cezar/Documents/PBL/Import danych z zewnątrz/Biblioteka Narodowa/2005_2008/CSV/ant.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE)
ant$tw_nazwisko <- ifelse(is.na(ant$tw_nazwisko),'',as.character(ant$tw_nazwisko))
ant$tw_imie <- ifelse(is.na(ant$tw_imie),'',as.character(ant$tw_imie))
x <- match(dlugosci$pole,names(ant))
for (i in x) {
progress(match(i,x), max.value = length(x))
dlugosc <- dlugosci$liczba_znakow[match(names(ant[i]),dlugosci$pole)]
ant$za_adnotacje <- ifelse(dlugosc<nchar(as.character(ant[,i])),paste(ant$za_adnotacje,"; UWAGA! Pole", as.character(names(ant[i])),"było zbyt długie i zostało ucięte",sep = " "),as.character(ant$za_adnotacje))
ant[,i] <- ifelse(dlugosc<nchar(as.character(ant[,i])),as.character(substr(ant[,i],1,dlugosc)),as.character(ant[,i]))
}
write.csv2(ant, "C:/Users/cezar/Documents/PBL/Import danych z zewnątrz/Biblioteka Narodowa/2005_2008/csv_nowe/ant.csv", row.names = F, na = '', fileEncoding = 'Windows-1250')